Research Article Internal-Model-Principle-Based Specific...
Transcript of Research Article Internal-Model-Principle-Based Specific...
Research ArticleInternal-Model-Principle-Based Specific Harmonics RepetitiveController for Grid-Connected PWM Inverters
Wenzhou Lu1 Jinfei Shen1 and Yunhu Yang2
1Key Laboratory of Advance Process Control for Light Industry Ministry of Education Jiangnan University Wuxi 214122 China2School of Electrical and Information Engineering Anhui University of Technology Marsquoanshan 243002 China
Correspondence should be addressed to Wenzhou Lu luwenzhou126com
Received 9 May 2016 Revised 22 July 2016 Accepted 9 August 2016
Academic Editor Alfonso Banos
Copyright copy 2016 Wenzhou Lu et al This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
This paper analyzes the general properties of IMP-based controller and presents an internal-model-principle-based (IMP-based)specific harmonics repetitive control (SHRC) scheme The proposed SHRC is effective for specific 119899119896 plusmn 119898 order harmonics with119899 gt 119898 ge 0 and 119896 = 0 1 2 Using the properties of exponential function SHRC can also be rewritten into the format of multipleresonant controllers in parallel where the control gain of SHRC is 1198992 multiple of that of conventional RC (CRC) Thereforeincluding SHRC in a stable closed-loop feedback control system asymptotic disturbance eliminating or reference tracking for anyperiodic signal only including these specific harmonic components at 1198992 times faster error convergence rate compared with CRCcan be achieved Application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters demonstratethe effectiveness and advantages of the proposed SHRC scheme
1 Introduction
Repetitive control (RC) as an internal model principle (IMP)[1 2] based controller can track or eliminate periodic signalsin an effective way if it is included in a stable closed-loopsystem Conventional RC (CRC) [3] presented since the early1980 and being the most widely used RC format nowadayscan achieve zero-error tracking or disturbance rejection forany periodic signal whose fundamental period time is knownat first Through fast-Fourier transformation (FFT) analysisany known periodic signal can be decomposed into dcfundamental component and all harmonic componentsThatis CRC is effective to track or eliminate any periodic signalincluding any order harmonic Due to the time delay linebeing included in the RC structure CRC is slower thanany instantaneous feedback controller although it has bettertracking accuracy RC has been studied in several aspects[4ndash12] including its properties and structures Moreover itsapplications can be found in many fields such as disc drives[13] robots [14] satellites [15] and PWMconverters [8 9 16ndash22]
However in many applications [7 8 10] dominantharmonics only concentrate at some specific order harmonic
frequencies Especially in three-phasesingle-phase PWMinverter applications 6119896plusmn1 or 4119896plusmn1 (119896 = 1 2 ) order har-monics dominate their output voltagescurrents distortionsIn these cases CRCmight be too slow to trackeliminate thesespecific harmonics with satisfactory error convergence rate
In order to solve this problem this paper proposesan IMP-based specific harmonics RC (SHRC) for three-phasesingle-phase grid-connected PWM inverters To betterunderstand the proposed SHRC the general properties ofIMP-based controller and the performance of IMP-basedCRC are analyzed at first Then the performance of IMP-based SHRC and its error convergence rate analysis are alsogiven Finally two application cases of SHRC controlledthree-phasesingle-phase grid-connected PWM inverters areprovided to demonstrate the effectiveness and advantages ofthe proposed SHRC scheme
2 IMP-Based Controller
21 Internal Model Principle (IMP) Some specific distur-bance and reference signals can be described as the outputof a linear dynamic system with zero-input and certain
Hindawi Publishing CorporationMathematical Problems in EngineeringVolume 2016 Article ID 9640403 10 pageshttpdxdoiorg10115520169640403
2 Mathematical Problems in Engineering
++
+ y
d
u
eGpGc
yref
minus
Figure 1 Closed-loop feedback control system
initial conditions Thus a general disturbance signal can bedescribed as the format of a differential equation as follows
119889119902119889 (119905)
119889119905119902
+
119902minus1
sum
119894=0
120574119894
119889119894119889 (119905)
119889119905119894
= 0 (1)
Using Laplace transform (1) can be derived into
119889 (119904) =
119873119889 (119904) 119909119889 (0)
Γ119889 (119904)
(2)
whereΓ119889(119904) is the disturbance generating polynomial (D-GP)which can be defined into
Γ119889 (119904) ≜ 119904119902+
119902minus1
sum
119894=0
120574119894119904119894 (3)
Notice that this D-GP is only related with the denomi-nator of (2) Similarly reference signal can be described inthe same way as long as replacing the symbol ldquo119889rdquo with ldquo119903rdquoReference generating polynomial (R-GP) Γ119903(119904) can be definedas follows
Γ119903 (119904) ≜ 119904119902+
119902minus1
sum
119894=0
120582119894119904119894 (4)
Then internal model principle (IMP) [2 23] can beexpressed as follows If disturbance 119889(119905) or reference input119910119903119890119891(119905) can be expressed as its D-GP or R-GP just like Γ119889(119904)
or Γ119903(119904) asymptotic error elimination or reference trackingcan be achieved for the control system using the followingcontroller
119866119888 (119904) =
119875 (119904)
Γ119889 (119904) 119871 (119904)
(5)
or
119866119888 (119904) =
119875 (119904)
Γ119903 (119904) 119871 (119904)
(6)
Therefore only D-GP or R-GP that is Γ119889(119904) or Γ119903(119904) isneeded when using IMP while the amplitude information ofdisturbance or reference input is not needed
22 The General Properties of IMP-Based Controller Figure 1shows the diagram of a closed-loop feedback control systemLet the model of plant be
119866119901 (119904) =
119861119900 (119904)
119860119900 (119904)
=
119887119899minus1119904119899minus1
+ 119887119899minus2119904119899minus2
+ sdot sdot sdot + 1198870
119904119899+ 119886119899minus1119904
119899minus1+ 119886119899minus2119904
119899minus2+ sdot sdot sdot + 1198860
(7)
and assume that Γ119889(119904) or Γ119903(119904) is not the factor of 119861119900(119904)
Then the output sensitivity function of closed-loop feed-back system shown in Figure 1 is
119878119900 (119904) =
Γ119889 (119904) 119871 (119904) 119860119900 (119904)
Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(8)
or
119878119900 (119904) =
Γ119903 (119904) 119871 (119904) 119860119900 (119904)
Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(9)
and the output complementary sensitivity function is
119879119900 (119904) = 1 minus 119878119900 (119904) =
119875 (119904) 119861119900 (119904)
Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(10)
or
119879119900 (119904) = 1 minus 119878119900 (119904) =
119875 (119904) 119861119900 (119904)
Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(11)
Assume the selected 119871(119904) and 119875(119904) can make the closed-loop characteristic equation
119860cl (119904) = Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)(12)
or
119860cl (119904) = Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)(13)
have the negative realistic roots Thus the output response ofdisturbance 119889(119905) can be obtained as
119910 (119904) = 119878119900 (119904) 119889 (119904) =
119871 (119904) 119860119900 (119904)119873119889 (119904) 119909119889 (0)
119860cl (119904) (14)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119910(119904) can asymptotically converge to zero thatis 119910(119905 rarr infin) = 0
The system error response of disturbance 119889(119905) is
119890 (119904) = minus119878119900 (119904) 119889 (119904) = minus
119871 (119904) 119860119900 (119904)119873119889 (119904) 119909119889 (0)
119860cl (119904) (15)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119890(119904) can asymptotically converge to zero that is119890(119905 rarr infin) = 0
The system error response of reference 119910ref (119905) is
119890 (119904) = 119878119900 (119904) 119910ref (119904) =
119871 (119904) 119860119900 (119904)119873119903 (119904) 119909119903 (0)
119860cl (119904) (16)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119890(119904) can asymptotically converge to zero that is119890(119905 rarr infin) = 0
The system output response of reference 119910ref (119905) is
119910 (119904) = 119879119900 (119904) 119910ref (119904)
= 119910ref (119904) minus119871 (119904) 119860119900 (119904)119873119903 (119904) 119909119903 (0)
119860cl (119904)
(17)
Mathematical Problems in Engineering 3
+
+
++krc
cos
2120587
nm
eminussT119900neminussT119900n
eminussT119900n
minus
minus
2cos2120587
nm
e(s)
Grc(s)
c(s)
Figure 2 Specific harmonics repetitive control (SHRC)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119910(119904) can asymptotically track its reference inputthat is 119910(119905) rarr 119910ref(119905)
Therefore if D-GP or R-GP is included in the denomi-nator of a controller asymptotic disturbance eliminating orreference tracking can be achieved for the control system
Then we will see why conventional RC (CRC) is an IMP-based controller andwhy it can trackeliminate all harmonics
23 IMP-Based Conventional Repetitive Controller (CRC)According to the properties of exponential function [24]CRC can be rewritten into
119866rc (119904) = 119896rc sdot
119890minus119904119879119900
1 minus 119890minus119904119879119900
= 119896rc sdot
119890minus1199041198791199002
2 sinh (1199041198791199002)
= 119896rc sdot
119890minus1199041198791199002
119904119879119900 sdot prodinfin
119896=1[1 + 119904
2 (11989621205962119900)]
(18)
where 119896rc is the control gain and 119879119900 = 2120587120596119900 = 1119891119900 is thefundamental period of signals with 119891119900 being the fundamentalfrequency 120596119900 being the fundamental angular frequency
If the disturbance 119889(119905) or reference input 119910ref (119905) of closed-loop feedback control system is a periodic signal whichcan be decomposed into the summation of all harmoniccomponents that is dc fundamental component and anyorder harmonic component using FFT its D-GP or R-GP thatis Γ119889(119904) or Γ119903(119904) can be derived as follows
119889 (119905) = 1198890 +
infin
sum
119896=1
119889119896 cos (119896120596119900119905 + 120593119896) 997904rArr
Γ119889 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(19)
or
119910ref (119905) = 1199030 +
infin
sum
119896=1
119903119896 cos (119896120596119900119905 + 1205931015840
119896) 997904rArr
Γ119903 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(20)
Then CRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119889 (119904)
(21)
or
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119903 (119904)
(22)
From (21) or (22) it can be seen that D-GP Γ119889(119904) or R-GPΓ119903(119904) is included in the denominator of CRC controllerThusasymptotic disturbance eliminating or reference tracking forany periodic signal can be achieved using IMP indicated inSection 21 if CRC is used as the controller in a closed-loop feedback control system Therefore CRC is an IMP-based controller and is effective for any periodic signal thatis composed with all harmonic components
3 SHRC
31 Specific Harmonics RC (SHRC) A specific harmonics RC(SHRC) shown in Figure 2 for efficient removingtrackingspecific 119899119896 plusmn 119898 order harmonics is proposed as follows
119866rc (119904) = 119896rc sdot
cos (2120587119898119899) 119890119904119879119900119899
minus 1
1198902119904119879119900119899
minus 2 cos (2120587119898119899) 119890119904119879119900119899
+ 1
(23)
where 119899 and 119898 are integers with 119899 gt 119898 ge 0In three-phasesingle-phase PWM inverter applications
because 6119896 plusmn 1 or 4119896 plusmn 1 (119896 = 1 2 ) order harmonicsdominate its output distortion (23) can be used for thesespecific harmonics with 119899 = 6 or 119899 = 4 and 119898 = 1
Using the similar analysis with CRC in Section 23 it canbe achieved that SHRC is also an IMP-based controller in thefollowing subsection
32 IMP-Based SHRC According to the properties of expo-nential function [24] (23) can be rewritten into
4 Mathematical Problems in Engineering
119866rc (119904) =
119896rc2
sdot
cos (2120587119898119899) minus 119890minus119904119879119900119899
cosh (119904119879119900119899) minus cos (2120587119898119899)
=
119896rc sdot [cos ((2120587119899)119898) minus 119890minus119904(119879119900119899)
]
4sin2 (119898120587119899) (1 + 1199042 (11989821205962119900)) sdot prod
infin
119896=1[1 + 119904
2 ((119899119896 + 119898)
21205962119900)] [1 + 119904
2 ((119899119896 minus 119898)
21205962119900)]
(24)
where 119898 = 0 If 119898 = 0 (23) can be rewritten into
119866rc (119904) =
119896rc119890119904119879119900119899
minus 1
=
119896rc
(119904119879119900119899) sdot 1198901199041198791199002119899
sdot prodinfin
119896=1[1 + 119904
2 (1198991198961205960)
2]
(25)
If the disturbance signal 119889(119905) of closed-loop feedbackcontrol system is a periodic signal only including specific119899119896 plusmn 119898 order harmonic components its D-GP that is Γ119889(119904)can be derived as follows
119889 (119905) =
1198890 +
infin
sum
119896=1
119889119899119896 cos (119899119896120596119900119905 + 120593119899119896) (119898 = 0)
infin
sum
119896=1
119889119899119896minus119898 cos ((119899119896 minus 119898)120596119900119905 + 120593119899119896minus119898) +
infin
sum
119896=0
119889119899119896+119898 cos ((119899119896 + 119898)120596119900119905 + 120593119899119896+119898) (119898 = 0)
997904rArr
Γ119889 (119904) =
119904
infin
prod
119896=1
(1199042+ (119899119896120596119900)
2) (119898 = 0)
(1199042+ (119898120596119900)
2)
infin
prod
119896=1
(1199042+ ((119899119896 minus 119898)120596119900)
2) sdot (1199042+ ((119899119896 + 119898)120596119900)
2) (119898 = 0)
(26)
Then SHRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc sdot
119899 sdot 119890minus1199041198791199002119899
prodinfin
119896=1(119899119896120596119900)
2
119879119900 sdot Γ119889 (119904)
(119898 = 0)
119896rc [cos (2120587119898119899) minus 119890minus119904119879119900119899]11989821205962
119900prodinfin
119896=1[(119899119896 + 119898)
2(119899119896 minus 119898)
21205964
119900]
4sin2 (119898120587119899) sdot Γ119889 (119904)
(119898 = 0)
(27)
Similarly if the reference input 119910ref (119905) is a periodic signalonly including specific 119899119896 plusmn 119898 order harmonic componentsits R-GP that is Γ119903(119904) and corresponding SHRC can also bederived
So it can be seen that D-GP Γ119889(119904) or R-GP Γ119903(119904) isincluded in the denominator of SHRC controller Thusasymptotic disturbance eliminating or reference tracking forany periodic signal only including these specific 119899119896plusmn119898 orderharmonic components can be achieved using IMP indicatedin Section 21 if SHRC is used as the controller in a closed-loop feedback control system Therefore SHRC is also anIMP-based controller and is effective for any periodic signalonly including these specific harmonics
33 Error Convergence Rate of SHRC According to theproperties of exponential function [24] SHRC can also berewritten into the format of multiple resonant controllers inparallel as follows
119866rc (119904) =
1
2
119896rc sdot [
119890119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890119895(2120587119899)119898
+
119890minus119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890minus119895(2120587119899)119898
] = 119896rc sdot minus
1
2
+
119899
2119879119900 (119904 minus 119895119898120596119900)
+
119899
2119879119900 (119904 + 119895119898120596119900)
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 minus 119895119898120596119900)
(119904 minus 119895119898120596119900)2+ 119899211989621205962119900
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 + 119895119898120596119900)
(119904 + 119895119898120596119900)2+ 119899211989621205962119900
(28)
From (28) it can be achieved that for specific 119899119896plusmn119898 orderharmonics the control gain of SHRC is (1198992)119896rc119879119900 From[25] the corresponding control gain of CRC is 119896rc119879119900 So
Mathematical Problems in Engineering 5
PWM
RCu
e
Switching
+
+
+
minus
DBTransform
TransformCalculation
PLL
dq
abc
minus1
L
A
B
C
+
minus
L
L0
R
R
R
+ minus+
minus + minus
+ minus
+
minus +
minus
generator
Udc
Udc
cba
ab
ab
bc
bc
ca
c
c
b
b
a
a
ic
ic
ib
ib
ia
ia
icref
ibref
iaref
ibia
ia ib icur
iqref
idref
sin (120596t)cos (120596t)
S1
S2
S3
S4
S5
S6
signals (S1ndashS6)
Pref Qref
Figure 3 Repetitive controlled three-phase grid-connected PWM inverter
the control gain of SHRC is 1198992 multiple of that of CRC Theerror convergence rate of SHRC is also 1198992 times faster thanthat of CRC Particularly for the three-phase PWM invertersapplication the error convergence rate of SHRC with 119899 = 6
and 119898 = 1 is three times (ie 1198992 = 3) faster than that ofCRC For the single-phase PWM inverters application theerror convergence rate of SHRC with 119899 = 4 and 119898 = 1 istwo times (ie 1198992 = 2) faster than that of CRC ThereforeSHRC can be used to enhance the error convergence ratefor trackingremoving specific harmonics and thus improvethe performance of three-phasesingle-phase PWM invertercontrol system
In the next two sections SHRC will be used in three-phase and single-phase grid-connected PWM inverter sys-tems to verify the effectiveness of SHRC and to improve thecontrol performance of both inverter systems
4 Case 1 Three-Phase Grid-ConnectedPWM Inverters
41 Modeling Figure 3 shows a three-phase grid-connectedPWM inverter system where 119880dc is the dc-side voltage 119871and 119877 are inductance and resistor respectively 119894119886 119894119887 and 119894119888
are the inductance currents V119886 V119887 and V119888 are the 119886 119887 and 119888
three-phase grid voltages The control objective is to achievehigh current tracking accuracy through forcing 119894119886 119894119887 and 119894119888
to exactly track their reference 119894aref 119894bref and 119894cref which aregenerated by using PQ control method and instantaneouspower theory [26] System parameter values are shown inTable 1
Table 1 Parameters for three-phase grid-connected inverter system
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119886119887119887119888119888119886
= 25V (rms)
Reference 119875ref = 100W119876ref = 0
Switching frequency 119891119904= 6 kHz
The mathematical model [18] can be described as
(
119894119886
119894119887
119894119888
) = (
minus
119877
119871
0 0
0 minus
119877
119871
0
0 0 minus
119877
119871
)(
119894119886
119894119887
119894119888
)
+
(
(
(
(
1
119871
(V119886 minus V119860)
1
119871
(V119887 minus V119861)
1
119871
(V119888 minus V119862)
)
)
)
)
(29)
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
2 Mathematical Problems in Engineering
++
+ y
d
u
eGpGc
yref
minus
Figure 1 Closed-loop feedback control system
initial conditions Thus a general disturbance signal can bedescribed as the format of a differential equation as follows
119889119902119889 (119905)
119889119905119902
+
119902minus1
sum
119894=0
120574119894
119889119894119889 (119905)
119889119905119894
= 0 (1)
Using Laplace transform (1) can be derived into
119889 (119904) =
119873119889 (119904) 119909119889 (0)
Γ119889 (119904)
(2)
whereΓ119889(119904) is the disturbance generating polynomial (D-GP)which can be defined into
Γ119889 (119904) ≜ 119904119902+
119902minus1
sum
119894=0
120574119894119904119894 (3)
Notice that this D-GP is only related with the denomi-nator of (2) Similarly reference signal can be described inthe same way as long as replacing the symbol ldquo119889rdquo with ldquo119903rdquoReference generating polynomial (R-GP) Γ119903(119904) can be definedas follows
Γ119903 (119904) ≜ 119904119902+
119902minus1
sum
119894=0
120582119894119904119894 (4)
Then internal model principle (IMP) [2 23] can beexpressed as follows If disturbance 119889(119905) or reference input119910119903119890119891(119905) can be expressed as its D-GP or R-GP just like Γ119889(119904)
or Γ119903(119904) asymptotic error elimination or reference trackingcan be achieved for the control system using the followingcontroller
119866119888 (119904) =
119875 (119904)
Γ119889 (119904) 119871 (119904)
(5)
or
119866119888 (119904) =
119875 (119904)
Γ119903 (119904) 119871 (119904)
(6)
Therefore only D-GP or R-GP that is Γ119889(119904) or Γ119903(119904) isneeded when using IMP while the amplitude information ofdisturbance or reference input is not needed
22 The General Properties of IMP-Based Controller Figure 1shows the diagram of a closed-loop feedback control systemLet the model of plant be
119866119901 (119904) =
119861119900 (119904)
119860119900 (119904)
=
119887119899minus1119904119899minus1
+ 119887119899minus2119904119899minus2
+ sdot sdot sdot + 1198870
119904119899+ 119886119899minus1119904
119899minus1+ 119886119899minus2119904
119899minus2+ sdot sdot sdot + 1198860
(7)
and assume that Γ119889(119904) or Γ119903(119904) is not the factor of 119861119900(119904)
Then the output sensitivity function of closed-loop feed-back system shown in Figure 1 is
119878119900 (119904) =
Γ119889 (119904) 119871 (119904) 119860119900 (119904)
Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(8)
or
119878119900 (119904) =
Γ119903 (119904) 119871 (119904) 119860119900 (119904)
Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(9)
and the output complementary sensitivity function is
119879119900 (119904) = 1 minus 119878119900 (119904) =
119875 (119904) 119861119900 (119904)
Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(10)
or
119879119900 (119904) = 1 minus 119878119900 (119904) =
119875 (119904) 119861119900 (119904)
Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)
(11)
Assume the selected 119871(119904) and 119875(119904) can make the closed-loop characteristic equation
119860cl (119904) = Γ119889 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)(12)
or
119860cl (119904) = Γ119903 (119904) 119871 (119904) 119860119900 (119904) + 119875 (119904) 119861119900 (119904)(13)
have the negative realistic roots Thus the output response ofdisturbance 119889(119905) can be obtained as
119910 (119904) = 119878119900 (119904) 119889 (119904) =
119871 (119904) 119860119900 (119904)119873119889 (119904) 119909119889 (0)
119860cl (119904) (14)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119910(119904) can asymptotically converge to zero thatis 119910(119905 rarr infin) = 0
The system error response of disturbance 119889(119905) is
119890 (119904) = minus119878119900 (119904) 119889 (119904) = minus
119871 (119904) 119860119900 (119904)119873119889 (119904) 119909119889 (0)
119860cl (119904) (15)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119890(119904) can asymptotically converge to zero that is119890(119905 rarr infin) = 0
The system error response of reference 119910ref (119905) is
119890 (119904) = 119878119900 (119904) 119910ref (119904) =
119871 (119904) 119860119900 (119904)119873119903 (119904) 119909119903 (0)
119860cl (119904) (16)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119890(119904) can asymptotically converge to zero that is119890(119905 rarr infin) = 0
The system output response of reference 119910ref (119905) is
119910 (119904) = 119879119900 (119904) 119910ref (119904)
= 119910ref (119904) minus119871 (119904) 119860119900 (119904)119873119903 (119904) 119909119903 (0)
119860cl (119904)
(17)
Mathematical Problems in Engineering 3
+
+
++krc
cos
2120587
nm
eminussT119900neminussT119900n
eminussT119900n
minus
minus
2cos2120587
nm
e(s)
Grc(s)
c(s)
Figure 2 Specific harmonics repetitive control (SHRC)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119910(119904) can asymptotically track its reference inputthat is 119910(119905) rarr 119910ref(119905)
Therefore if D-GP or R-GP is included in the denomi-nator of a controller asymptotic disturbance eliminating orreference tracking can be achieved for the control system
Then we will see why conventional RC (CRC) is an IMP-based controller andwhy it can trackeliminate all harmonics
23 IMP-Based Conventional Repetitive Controller (CRC)According to the properties of exponential function [24]CRC can be rewritten into
119866rc (119904) = 119896rc sdot
119890minus119904119879119900
1 minus 119890minus119904119879119900
= 119896rc sdot
119890minus1199041198791199002
2 sinh (1199041198791199002)
= 119896rc sdot
119890minus1199041198791199002
119904119879119900 sdot prodinfin
119896=1[1 + 119904
2 (11989621205962119900)]
(18)
where 119896rc is the control gain and 119879119900 = 2120587120596119900 = 1119891119900 is thefundamental period of signals with 119891119900 being the fundamentalfrequency 120596119900 being the fundamental angular frequency
If the disturbance 119889(119905) or reference input 119910ref (119905) of closed-loop feedback control system is a periodic signal whichcan be decomposed into the summation of all harmoniccomponents that is dc fundamental component and anyorder harmonic component using FFT its D-GP or R-GP thatis Γ119889(119904) or Γ119903(119904) can be derived as follows
119889 (119905) = 1198890 +
infin
sum
119896=1
119889119896 cos (119896120596119900119905 + 120593119896) 997904rArr
Γ119889 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(19)
or
119910ref (119905) = 1199030 +
infin
sum
119896=1
119903119896 cos (119896120596119900119905 + 1205931015840
119896) 997904rArr
Γ119903 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(20)
Then CRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119889 (119904)
(21)
or
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119903 (119904)
(22)
From (21) or (22) it can be seen that D-GP Γ119889(119904) or R-GPΓ119903(119904) is included in the denominator of CRC controllerThusasymptotic disturbance eliminating or reference tracking forany periodic signal can be achieved using IMP indicated inSection 21 if CRC is used as the controller in a closed-loop feedback control system Therefore CRC is an IMP-based controller and is effective for any periodic signal thatis composed with all harmonic components
3 SHRC
31 Specific Harmonics RC (SHRC) A specific harmonics RC(SHRC) shown in Figure 2 for efficient removingtrackingspecific 119899119896 plusmn 119898 order harmonics is proposed as follows
119866rc (119904) = 119896rc sdot
cos (2120587119898119899) 119890119904119879119900119899
minus 1
1198902119904119879119900119899
minus 2 cos (2120587119898119899) 119890119904119879119900119899
+ 1
(23)
where 119899 and 119898 are integers with 119899 gt 119898 ge 0In three-phasesingle-phase PWM inverter applications
because 6119896 plusmn 1 or 4119896 plusmn 1 (119896 = 1 2 ) order harmonicsdominate its output distortion (23) can be used for thesespecific harmonics with 119899 = 6 or 119899 = 4 and 119898 = 1
Using the similar analysis with CRC in Section 23 it canbe achieved that SHRC is also an IMP-based controller in thefollowing subsection
32 IMP-Based SHRC According to the properties of expo-nential function [24] (23) can be rewritten into
4 Mathematical Problems in Engineering
119866rc (119904) =
119896rc2
sdot
cos (2120587119898119899) minus 119890minus119904119879119900119899
cosh (119904119879119900119899) minus cos (2120587119898119899)
=
119896rc sdot [cos ((2120587119899)119898) minus 119890minus119904(119879119900119899)
]
4sin2 (119898120587119899) (1 + 1199042 (11989821205962119900)) sdot prod
infin
119896=1[1 + 119904
2 ((119899119896 + 119898)
21205962119900)] [1 + 119904
2 ((119899119896 minus 119898)
21205962119900)]
(24)
where 119898 = 0 If 119898 = 0 (23) can be rewritten into
119866rc (119904) =
119896rc119890119904119879119900119899
minus 1
=
119896rc
(119904119879119900119899) sdot 1198901199041198791199002119899
sdot prodinfin
119896=1[1 + 119904
2 (1198991198961205960)
2]
(25)
If the disturbance signal 119889(119905) of closed-loop feedbackcontrol system is a periodic signal only including specific119899119896 plusmn 119898 order harmonic components its D-GP that is Γ119889(119904)can be derived as follows
119889 (119905) =
1198890 +
infin
sum
119896=1
119889119899119896 cos (119899119896120596119900119905 + 120593119899119896) (119898 = 0)
infin
sum
119896=1
119889119899119896minus119898 cos ((119899119896 minus 119898)120596119900119905 + 120593119899119896minus119898) +
infin
sum
119896=0
119889119899119896+119898 cos ((119899119896 + 119898)120596119900119905 + 120593119899119896+119898) (119898 = 0)
997904rArr
Γ119889 (119904) =
119904
infin
prod
119896=1
(1199042+ (119899119896120596119900)
2) (119898 = 0)
(1199042+ (119898120596119900)
2)
infin
prod
119896=1
(1199042+ ((119899119896 minus 119898)120596119900)
2) sdot (1199042+ ((119899119896 + 119898)120596119900)
2) (119898 = 0)
(26)
Then SHRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc sdot
119899 sdot 119890minus1199041198791199002119899
prodinfin
119896=1(119899119896120596119900)
2
119879119900 sdot Γ119889 (119904)
(119898 = 0)
119896rc [cos (2120587119898119899) minus 119890minus119904119879119900119899]11989821205962
119900prodinfin
119896=1[(119899119896 + 119898)
2(119899119896 minus 119898)
21205964
119900]
4sin2 (119898120587119899) sdot Γ119889 (119904)
(119898 = 0)
(27)
Similarly if the reference input 119910ref (119905) is a periodic signalonly including specific 119899119896 plusmn 119898 order harmonic componentsits R-GP that is Γ119903(119904) and corresponding SHRC can also bederived
So it can be seen that D-GP Γ119889(119904) or R-GP Γ119903(119904) isincluded in the denominator of SHRC controller Thusasymptotic disturbance eliminating or reference tracking forany periodic signal only including these specific 119899119896plusmn119898 orderharmonic components can be achieved using IMP indicatedin Section 21 if SHRC is used as the controller in a closed-loop feedback control system Therefore SHRC is also anIMP-based controller and is effective for any periodic signalonly including these specific harmonics
33 Error Convergence Rate of SHRC According to theproperties of exponential function [24] SHRC can also berewritten into the format of multiple resonant controllers inparallel as follows
119866rc (119904) =
1
2
119896rc sdot [
119890119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890119895(2120587119899)119898
+
119890minus119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890minus119895(2120587119899)119898
] = 119896rc sdot minus
1
2
+
119899
2119879119900 (119904 minus 119895119898120596119900)
+
119899
2119879119900 (119904 + 119895119898120596119900)
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 minus 119895119898120596119900)
(119904 minus 119895119898120596119900)2+ 119899211989621205962119900
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 + 119895119898120596119900)
(119904 + 119895119898120596119900)2+ 119899211989621205962119900
(28)
From (28) it can be achieved that for specific 119899119896plusmn119898 orderharmonics the control gain of SHRC is (1198992)119896rc119879119900 From[25] the corresponding control gain of CRC is 119896rc119879119900 So
Mathematical Problems in Engineering 5
PWM
RCu
e
Switching
+
+
+
minus
DBTransform
TransformCalculation
PLL
dq
abc
minus1
L
A
B
C
+
minus
L
L0
R
R
R
+ minus+
minus + minus
+ minus
+
minus +
minus
generator
Udc
Udc
cba
ab
ab
bc
bc
ca
c
c
b
b
a
a
ic
ic
ib
ib
ia
ia
icref
ibref
iaref
ibia
ia ib icur
iqref
idref
sin (120596t)cos (120596t)
S1
S2
S3
S4
S5
S6
signals (S1ndashS6)
Pref Qref
Figure 3 Repetitive controlled three-phase grid-connected PWM inverter
the control gain of SHRC is 1198992 multiple of that of CRC Theerror convergence rate of SHRC is also 1198992 times faster thanthat of CRC Particularly for the three-phase PWM invertersapplication the error convergence rate of SHRC with 119899 = 6
and 119898 = 1 is three times (ie 1198992 = 3) faster than that ofCRC For the single-phase PWM inverters application theerror convergence rate of SHRC with 119899 = 4 and 119898 = 1 istwo times (ie 1198992 = 2) faster than that of CRC ThereforeSHRC can be used to enhance the error convergence ratefor trackingremoving specific harmonics and thus improvethe performance of three-phasesingle-phase PWM invertercontrol system
In the next two sections SHRC will be used in three-phase and single-phase grid-connected PWM inverter sys-tems to verify the effectiveness of SHRC and to improve thecontrol performance of both inverter systems
4 Case 1 Three-Phase Grid-ConnectedPWM Inverters
41 Modeling Figure 3 shows a three-phase grid-connectedPWM inverter system where 119880dc is the dc-side voltage 119871and 119877 are inductance and resistor respectively 119894119886 119894119887 and 119894119888
are the inductance currents V119886 V119887 and V119888 are the 119886 119887 and 119888
three-phase grid voltages The control objective is to achievehigh current tracking accuracy through forcing 119894119886 119894119887 and 119894119888
to exactly track their reference 119894aref 119894bref and 119894cref which aregenerated by using PQ control method and instantaneouspower theory [26] System parameter values are shown inTable 1
Table 1 Parameters for three-phase grid-connected inverter system
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119886119887119887119888119888119886
= 25V (rms)
Reference 119875ref = 100W119876ref = 0
Switching frequency 119891119904= 6 kHz
The mathematical model [18] can be described as
(
119894119886
119894119887
119894119888
) = (
minus
119877
119871
0 0
0 minus
119877
119871
0
0 0 minus
119877
119871
)(
119894119886
119894119887
119894119888
)
+
(
(
(
(
1
119871
(V119886 minus V119860)
1
119871
(V119887 minus V119861)
1
119871
(V119888 minus V119862)
)
)
)
)
(29)
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 3
+
+
++krc
cos
2120587
nm
eminussT119900neminussT119900n
eminussT119900n
minus
minus
2cos2120587
nm
e(s)
Grc(s)
c(s)
Figure 2 Specific harmonics repetitive control (SHRC)
Because 119860cl(119904) has stable roots the inverse Laplacetransform of 119910(119904) can asymptotically track its reference inputthat is 119910(119905) rarr 119910ref(119905)
Therefore if D-GP or R-GP is included in the denomi-nator of a controller asymptotic disturbance eliminating orreference tracking can be achieved for the control system
Then we will see why conventional RC (CRC) is an IMP-based controller andwhy it can trackeliminate all harmonics
23 IMP-Based Conventional Repetitive Controller (CRC)According to the properties of exponential function [24]CRC can be rewritten into
119866rc (119904) = 119896rc sdot
119890minus119904119879119900
1 minus 119890minus119904119879119900
= 119896rc sdot
119890minus1199041198791199002
2 sinh (1199041198791199002)
= 119896rc sdot
119890minus1199041198791199002
119904119879119900 sdot prodinfin
119896=1[1 + 119904
2 (11989621205962119900)]
(18)
where 119896rc is the control gain and 119879119900 = 2120587120596119900 = 1119891119900 is thefundamental period of signals with 119891119900 being the fundamentalfrequency 120596119900 being the fundamental angular frequency
If the disturbance 119889(119905) or reference input 119910ref (119905) of closed-loop feedback control system is a periodic signal whichcan be decomposed into the summation of all harmoniccomponents that is dc fundamental component and anyorder harmonic component using FFT its D-GP or R-GP thatis Γ119889(119904) or Γ119903(119904) can be derived as follows
119889 (119905) = 1198890 +
infin
sum
119896=1
119889119896 cos (119896120596119900119905 + 120593119896) 997904rArr
Γ119889 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(19)
or
119910ref (119905) = 1199030 +
infin
sum
119896=1
119903119896 cos (119896120596119900119905 + 1205931015840
119896) 997904rArr
Γ119903 (119904) = 119904
infin
prod
119896=1
(1199042+ (119896120596119900)
2)
(20)
Then CRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119889 (119904)
(21)
or
119866119888 (119904) = 119866rc (119904) =
119896rc119890minus1199041198791199002prodinfin
119896=1(11989621205962
119900)
119879119900 sdot Γ119903 (119904)
(22)
From (21) or (22) it can be seen that D-GP Γ119889(119904) or R-GPΓ119903(119904) is included in the denominator of CRC controllerThusasymptotic disturbance eliminating or reference tracking forany periodic signal can be achieved using IMP indicated inSection 21 if CRC is used as the controller in a closed-loop feedback control system Therefore CRC is an IMP-based controller and is effective for any periodic signal thatis composed with all harmonic components
3 SHRC
31 Specific Harmonics RC (SHRC) A specific harmonics RC(SHRC) shown in Figure 2 for efficient removingtrackingspecific 119899119896 plusmn 119898 order harmonics is proposed as follows
119866rc (119904) = 119896rc sdot
cos (2120587119898119899) 119890119904119879119900119899
minus 1
1198902119904119879119900119899
minus 2 cos (2120587119898119899) 119890119904119879119900119899
+ 1
(23)
where 119899 and 119898 are integers with 119899 gt 119898 ge 0In three-phasesingle-phase PWM inverter applications
because 6119896 plusmn 1 or 4119896 plusmn 1 (119896 = 1 2 ) order harmonicsdominate its output distortion (23) can be used for thesespecific harmonics with 119899 = 6 or 119899 = 4 and 119898 = 1
Using the similar analysis with CRC in Section 23 it canbe achieved that SHRC is also an IMP-based controller in thefollowing subsection
32 IMP-Based SHRC According to the properties of expo-nential function [24] (23) can be rewritten into
4 Mathematical Problems in Engineering
119866rc (119904) =
119896rc2
sdot
cos (2120587119898119899) minus 119890minus119904119879119900119899
cosh (119904119879119900119899) minus cos (2120587119898119899)
=
119896rc sdot [cos ((2120587119899)119898) minus 119890minus119904(119879119900119899)
]
4sin2 (119898120587119899) (1 + 1199042 (11989821205962119900)) sdot prod
infin
119896=1[1 + 119904
2 ((119899119896 + 119898)
21205962119900)] [1 + 119904
2 ((119899119896 minus 119898)
21205962119900)]
(24)
where 119898 = 0 If 119898 = 0 (23) can be rewritten into
119866rc (119904) =
119896rc119890119904119879119900119899
minus 1
=
119896rc
(119904119879119900119899) sdot 1198901199041198791199002119899
sdot prodinfin
119896=1[1 + 119904
2 (1198991198961205960)
2]
(25)
If the disturbance signal 119889(119905) of closed-loop feedbackcontrol system is a periodic signal only including specific119899119896 plusmn 119898 order harmonic components its D-GP that is Γ119889(119904)can be derived as follows
119889 (119905) =
1198890 +
infin
sum
119896=1
119889119899119896 cos (119899119896120596119900119905 + 120593119899119896) (119898 = 0)
infin
sum
119896=1
119889119899119896minus119898 cos ((119899119896 minus 119898)120596119900119905 + 120593119899119896minus119898) +
infin
sum
119896=0
119889119899119896+119898 cos ((119899119896 + 119898)120596119900119905 + 120593119899119896+119898) (119898 = 0)
997904rArr
Γ119889 (119904) =
119904
infin
prod
119896=1
(1199042+ (119899119896120596119900)
2) (119898 = 0)
(1199042+ (119898120596119900)
2)
infin
prod
119896=1
(1199042+ ((119899119896 minus 119898)120596119900)
2) sdot (1199042+ ((119899119896 + 119898)120596119900)
2) (119898 = 0)
(26)
Then SHRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc sdot
119899 sdot 119890minus1199041198791199002119899
prodinfin
119896=1(119899119896120596119900)
2
119879119900 sdot Γ119889 (119904)
(119898 = 0)
119896rc [cos (2120587119898119899) minus 119890minus119904119879119900119899]11989821205962
119900prodinfin
119896=1[(119899119896 + 119898)
2(119899119896 minus 119898)
21205964
119900]
4sin2 (119898120587119899) sdot Γ119889 (119904)
(119898 = 0)
(27)
Similarly if the reference input 119910ref (119905) is a periodic signalonly including specific 119899119896 plusmn 119898 order harmonic componentsits R-GP that is Γ119903(119904) and corresponding SHRC can also bederived
So it can be seen that D-GP Γ119889(119904) or R-GP Γ119903(119904) isincluded in the denominator of SHRC controller Thusasymptotic disturbance eliminating or reference tracking forany periodic signal only including these specific 119899119896plusmn119898 orderharmonic components can be achieved using IMP indicatedin Section 21 if SHRC is used as the controller in a closed-loop feedback control system Therefore SHRC is also anIMP-based controller and is effective for any periodic signalonly including these specific harmonics
33 Error Convergence Rate of SHRC According to theproperties of exponential function [24] SHRC can also berewritten into the format of multiple resonant controllers inparallel as follows
119866rc (119904) =
1
2
119896rc sdot [
119890119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890119895(2120587119899)119898
+
119890minus119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890minus119895(2120587119899)119898
] = 119896rc sdot minus
1
2
+
119899
2119879119900 (119904 minus 119895119898120596119900)
+
119899
2119879119900 (119904 + 119895119898120596119900)
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 minus 119895119898120596119900)
(119904 minus 119895119898120596119900)2+ 119899211989621205962119900
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 + 119895119898120596119900)
(119904 + 119895119898120596119900)2+ 119899211989621205962119900
(28)
From (28) it can be achieved that for specific 119899119896plusmn119898 orderharmonics the control gain of SHRC is (1198992)119896rc119879119900 From[25] the corresponding control gain of CRC is 119896rc119879119900 So
Mathematical Problems in Engineering 5
PWM
RCu
e
Switching
+
+
+
minus
DBTransform
TransformCalculation
PLL
dq
abc
minus1
L
A
B
C
+
minus
L
L0
R
R
R
+ minus+
minus + minus
+ minus
+
minus +
minus
generator
Udc
Udc
cba
ab
ab
bc
bc
ca
c
c
b
b
a
a
ic
ic
ib
ib
ia
ia
icref
ibref
iaref
ibia
ia ib icur
iqref
idref
sin (120596t)cos (120596t)
S1
S2
S3
S4
S5
S6
signals (S1ndashS6)
Pref Qref
Figure 3 Repetitive controlled three-phase grid-connected PWM inverter
the control gain of SHRC is 1198992 multiple of that of CRC Theerror convergence rate of SHRC is also 1198992 times faster thanthat of CRC Particularly for the three-phase PWM invertersapplication the error convergence rate of SHRC with 119899 = 6
and 119898 = 1 is three times (ie 1198992 = 3) faster than that ofCRC For the single-phase PWM inverters application theerror convergence rate of SHRC with 119899 = 4 and 119898 = 1 istwo times (ie 1198992 = 2) faster than that of CRC ThereforeSHRC can be used to enhance the error convergence ratefor trackingremoving specific harmonics and thus improvethe performance of three-phasesingle-phase PWM invertercontrol system
In the next two sections SHRC will be used in three-phase and single-phase grid-connected PWM inverter sys-tems to verify the effectiveness of SHRC and to improve thecontrol performance of both inverter systems
4 Case 1 Three-Phase Grid-ConnectedPWM Inverters
41 Modeling Figure 3 shows a three-phase grid-connectedPWM inverter system where 119880dc is the dc-side voltage 119871and 119877 are inductance and resistor respectively 119894119886 119894119887 and 119894119888
are the inductance currents V119886 V119887 and V119888 are the 119886 119887 and 119888
three-phase grid voltages The control objective is to achievehigh current tracking accuracy through forcing 119894119886 119894119887 and 119894119888
to exactly track their reference 119894aref 119894bref and 119894cref which aregenerated by using PQ control method and instantaneouspower theory [26] System parameter values are shown inTable 1
Table 1 Parameters for three-phase grid-connected inverter system
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119886119887119887119888119888119886
= 25V (rms)
Reference 119875ref = 100W119876ref = 0
Switching frequency 119891119904= 6 kHz
The mathematical model [18] can be described as
(
119894119886
119894119887
119894119888
) = (
minus
119877
119871
0 0
0 minus
119877
119871
0
0 0 minus
119877
119871
)(
119894119886
119894119887
119894119888
)
+
(
(
(
(
1
119871
(V119886 minus V119860)
1
119871
(V119887 minus V119861)
1
119871
(V119888 minus V119862)
)
)
)
)
(29)
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
4 Mathematical Problems in Engineering
119866rc (119904) =
119896rc2
sdot
cos (2120587119898119899) minus 119890minus119904119879119900119899
cosh (119904119879119900119899) minus cos (2120587119898119899)
=
119896rc sdot [cos ((2120587119899)119898) minus 119890minus119904(119879119900119899)
]
4sin2 (119898120587119899) (1 + 1199042 (11989821205962119900)) sdot prod
infin
119896=1[1 + 119904
2 ((119899119896 + 119898)
21205962119900)] [1 + 119904
2 ((119899119896 minus 119898)
21205962119900)]
(24)
where 119898 = 0 If 119898 = 0 (23) can be rewritten into
119866rc (119904) =
119896rc119890119904119879119900119899
minus 1
=
119896rc
(119904119879119900119899) sdot 1198901199041198791199002119899
sdot prodinfin
119896=1[1 + 119904
2 (1198991198961205960)
2]
(25)
If the disturbance signal 119889(119905) of closed-loop feedbackcontrol system is a periodic signal only including specific119899119896 plusmn 119898 order harmonic components its D-GP that is Γ119889(119904)can be derived as follows
119889 (119905) =
1198890 +
infin
sum
119896=1
119889119899119896 cos (119899119896120596119900119905 + 120593119899119896) (119898 = 0)
infin
sum
119896=1
119889119899119896minus119898 cos ((119899119896 minus 119898)120596119900119905 + 120593119899119896minus119898) +
infin
sum
119896=0
119889119899119896+119898 cos ((119899119896 + 119898)120596119900119905 + 120593119899119896+119898) (119898 = 0)
997904rArr
Γ119889 (119904) =
119904
infin
prod
119896=1
(1199042+ (119899119896120596119900)
2) (119898 = 0)
(1199042+ (119898120596119900)
2)
infin
prod
119896=1
(1199042+ ((119899119896 minus 119898)120596119900)
2) sdot (1199042+ ((119899119896 + 119898)120596119900)
2) (119898 = 0)
(26)
Then SHRC can be derived into
119866119888 (119904) = 119866rc (119904) =
119896rc sdot
119899 sdot 119890minus1199041198791199002119899
prodinfin
119896=1(119899119896120596119900)
2
119879119900 sdot Γ119889 (119904)
(119898 = 0)
119896rc [cos (2120587119898119899) minus 119890minus119904119879119900119899]11989821205962
119900prodinfin
119896=1[(119899119896 + 119898)
2(119899119896 minus 119898)
21205964
119900]
4sin2 (119898120587119899) sdot Γ119889 (119904)
(119898 = 0)
(27)
Similarly if the reference input 119910ref (119905) is a periodic signalonly including specific 119899119896 plusmn 119898 order harmonic componentsits R-GP that is Γ119903(119904) and corresponding SHRC can also bederived
So it can be seen that D-GP Γ119889(119904) or R-GP Γ119903(119904) isincluded in the denominator of SHRC controller Thusasymptotic disturbance eliminating or reference tracking forany periodic signal only including these specific 119899119896plusmn119898 orderharmonic components can be achieved using IMP indicatedin Section 21 if SHRC is used as the controller in a closed-loop feedback control system Therefore SHRC is also anIMP-based controller and is effective for any periodic signalonly including these specific harmonics
33 Error Convergence Rate of SHRC According to theproperties of exponential function [24] SHRC can also berewritten into the format of multiple resonant controllers inparallel as follows
119866rc (119904) =
1
2
119896rc sdot [
119890119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890119895(2120587119899)119898
+
119890minus119895(2120587119899)119898
119890119904(119879119900119899)
minus 119890minus119895(2120587119899)119898
] = 119896rc sdot minus
1
2
+
119899
2119879119900 (119904 minus 119895119898120596119900)
+
119899
2119879119900 (119904 + 119895119898120596119900)
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 minus 119895119898120596119900)
(119904 minus 119895119898120596119900)2+ 119899211989621205962119900
+
119899
2119879119900
+infin
sum
119896=1
2 (119904 + 119895119898120596119900)
(119904 + 119895119898120596119900)2+ 119899211989621205962119900
(28)
From (28) it can be achieved that for specific 119899119896plusmn119898 orderharmonics the control gain of SHRC is (1198992)119896rc119879119900 From[25] the corresponding control gain of CRC is 119896rc119879119900 So
Mathematical Problems in Engineering 5
PWM
RCu
e
Switching
+
+
+
minus
DBTransform
TransformCalculation
PLL
dq
abc
minus1
L
A
B
C
+
minus
L
L0
R
R
R
+ minus+
minus + minus
+ minus
+
minus +
minus
generator
Udc
Udc
cba
ab
ab
bc
bc
ca
c
c
b
b
a
a
ic
ic
ib
ib
ia
ia
icref
ibref
iaref
ibia
ia ib icur
iqref
idref
sin (120596t)cos (120596t)
S1
S2
S3
S4
S5
S6
signals (S1ndashS6)
Pref Qref
Figure 3 Repetitive controlled three-phase grid-connected PWM inverter
the control gain of SHRC is 1198992 multiple of that of CRC Theerror convergence rate of SHRC is also 1198992 times faster thanthat of CRC Particularly for the three-phase PWM invertersapplication the error convergence rate of SHRC with 119899 = 6
and 119898 = 1 is three times (ie 1198992 = 3) faster than that ofCRC For the single-phase PWM inverters application theerror convergence rate of SHRC with 119899 = 4 and 119898 = 1 istwo times (ie 1198992 = 2) faster than that of CRC ThereforeSHRC can be used to enhance the error convergence ratefor trackingremoving specific harmonics and thus improvethe performance of three-phasesingle-phase PWM invertercontrol system
In the next two sections SHRC will be used in three-phase and single-phase grid-connected PWM inverter sys-tems to verify the effectiveness of SHRC and to improve thecontrol performance of both inverter systems
4 Case 1 Three-Phase Grid-ConnectedPWM Inverters
41 Modeling Figure 3 shows a three-phase grid-connectedPWM inverter system where 119880dc is the dc-side voltage 119871and 119877 are inductance and resistor respectively 119894119886 119894119887 and 119894119888
are the inductance currents V119886 V119887 and V119888 are the 119886 119887 and 119888
three-phase grid voltages The control objective is to achievehigh current tracking accuracy through forcing 119894119886 119894119887 and 119894119888
to exactly track their reference 119894aref 119894bref and 119894cref which aregenerated by using PQ control method and instantaneouspower theory [26] System parameter values are shown inTable 1
Table 1 Parameters for three-phase grid-connected inverter system
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119886119887119887119888119888119886
= 25V (rms)
Reference 119875ref = 100W119876ref = 0
Switching frequency 119891119904= 6 kHz
The mathematical model [18] can be described as
(
119894119886
119894119887
119894119888
) = (
minus
119877
119871
0 0
0 minus
119877
119871
0
0 0 minus
119877
119871
)(
119894119886
119894119887
119894119888
)
+
(
(
(
(
1
119871
(V119886 minus V119860)
1
119871
(V119887 minus V119861)
1
119871
(V119888 minus V119862)
)
)
)
)
(29)
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 5
PWM
RCu
e
Switching
+
+
+
minus
DBTransform
TransformCalculation
PLL
dq
abc
minus1
L
A
B
C
+
minus
L
L0
R
R
R
+ minus+
minus + minus
+ minus
+
minus +
minus
generator
Udc
Udc
cba
ab
ab
bc
bc
ca
c
c
b
b
a
a
ic
ic
ib
ib
ia
ia
icref
ibref
iaref
ibia
ia ib icur
iqref
idref
sin (120596t)cos (120596t)
S1
S2
S3
S4
S5
S6
signals (S1ndashS6)
Pref Qref
Figure 3 Repetitive controlled three-phase grid-connected PWM inverter
the control gain of SHRC is 1198992 multiple of that of CRC Theerror convergence rate of SHRC is also 1198992 times faster thanthat of CRC Particularly for the three-phase PWM invertersapplication the error convergence rate of SHRC with 119899 = 6
and 119898 = 1 is three times (ie 1198992 = 3) faster than that ofCRC For the single-phase PWM inverters application theerror convergence rate of SHRC with 119899 = 4 and 119898 = 1 istwo times (ie 1198992 = 2) faster than that of CRC ThereforeSHRC can be used to enhance the error convergence ratefor trackingremoving specific harmonics and thus improvethe performance of three-phasesingle-phase PWM invertercontrol system
In the next two sections SHRC will be used in three-phase and single-phase grid-connected PWM inverter sys-tems to verify the effectiveness of SHRC and to improve thecontrol performance of both inverter systems
4 Case 1 Three-Phase Grid-ConnectedPWM Inverters
41 Modeling Figure 3 shows a three-phase grid-connectedPWM inverter system where 119880dc is the dc-side voltage 119871and 119877 are inductance and resistor respectively 119894119886 119894119887 and 119894119888
are the inductance currents V119886 V119887 and V119888 are the 119886 119887 and 119888
three-phase grid voltages The control objective is to achievehigh current tracking accuracy through forcing 119894119886 119894119887 and 119894119888
to exactly track their reference 119894aref 119894bref and 119894cref which aregenerated by using PQ control method and instantaneouspower theory [26] System parameter values are shown inTable 1
Table 1 Parameters for three-phase grid-connected inverter system
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119886119887119887119888119888119886
= 25V (rms)
Reference 119875ref = 100W119876ref = 0
Switching frequency 119891119904= 6 kHz
The mathematical model [18] can be described as
(
119894119886
119894119887
119894119888
) = (
minus
119877
119871
0 0
0 minus
119877
119871
0
0 0 minus
119877
119871
)(
119894119886
119894119887
119894119888
)
+
(
(
(
(
1
119871
(V119886 minus V119860)
1
119871
(V119887 minus V119861)
1
119871
(V119888 minus V119862)
)
)
)
)
(29)
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
6 Mathematical Problems in Engineering
The data-sample format of (29) can be gotten
(
119894119886 (119896 + 1)
119894119887 (119896 + 1)
119894119888 (119896 + 1)
)
=(
(
1198871 minus 1198872
1198871
0 0
0
1198871 minus 1198872
1198871
0
0 0
1198871 minus 1198872
1198871
)
)
(
119894119886 (119896)
119894119887 (119896)
119894119888 (119896)
)
+
(
(
(
(
(
1
1198871
V119886 (119896) minus1
1198871
119880dc (119896)
2
119906119886 (119896)
1
1198871
V119887 (119896) minus1
1198871
119880dc (119896)
2
119906119887 (119896)
1
1198871
V119888 (119896) minus1
1198871
119880dc (119896)
2
119906119888 (119896)
)
)
)
)
)
(30)
where 119906119886(119896) 119906119887(119896) and 119906119888(119896) are the three-phase duty cycles1198871 = 119871119879 and 1198872 = 119877 Therefore three independent singlesubsystems can be decomposed into
119894119895 (119896 + 1) =
1198871 minus 1198872
1198871
119894119895 (119896) +
1
1198871
V119895 (119896)
minus
119880dc (119896)
2
1
1198871
119906119895 (119896)
(31)
where 119895 = 119886 119887 119888A dead-beat (DB) current controller is chosen as follows
119906119895 (119896) =
2
119880dc (119896)[V119895 (119896) minus 1198871119894jref (119896) + (1198871 minus 1198872) 119894119895 (119896)] (32)
where 119895 = 119886 119887 119888 Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-looptransfer function without RC is 119867(119911) = 119911
minus1 Therefore thecontrol delay forDB current controller is only one step that isone sample period in theory which can achieve fast dynamicresponse
Using the parameter values in Table 1 the mathematicalmodel for the three-phase grid-connected inverter system in(31) can be rewritten into
119894119895 (119896 + 1) = 09833119894119895 (119896) + 00333V119895 (119896) minus 08333119906119895 (119896) (33)
and the DB current controller in (32) can be rewritten into
119906119895 (119896) = 004V119895 (119896) minus 12119894jref (119896) + 118119894119895 (119896) (34)
where 119895 = 119886 119887 119888
42 Experimental Results Figure 4(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Table 2 Parameters for single-phase grid-connected inverter sys-tem
Inverter
119880dc = 50V119871 = 5mH119877 = 05Ω
V119904= 25V (rms)
Reference 119875ref = 50W119876ref = 0
Switching frequency 119891119904= 6 kHz
Figures 4(b) 4(c) and 5 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled three-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 4(b) and 4(c) show the current distortions canbe greatly improved with both CRC and SHRC controllersMoreover it can be clearly seen from Figure 5 that thecurrent error convergence times for CRC and SHRC are032 s and 012 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlythree times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for three-phase grid-connected PWM inverter system and its advantage comparedwith CRC are verified
5 Case 2 Single-Phase Grid-ConnectedPWM Inverters
51 Modeling Figure 6 shows a single-phase grid-connectedPWM inverter system where119880dc is the dc-side voltage 119871 and119877 are inductance and resistor respectively 119894119904 is the inductancecurrent and V119904 is the grid voltage The control objective is toachieve high current tracking accuracy through forcing 119894119904 toexactly track its reference 119894sref which is generated by using PQcontrolmethod and instantaneous power theory [26] Systemparameter values are shown in Table 2
The mathematical model can be described as
119894119904 = minus
119877
119871
119894119904 +
1
119871
(V119904 minus Vin) (35)
The data-sample format of (35) can be gotten
119894119904 (119896 + 1) =
1198871 minus 1198872
1198871
119894119904 (119896) +
1
1198871
V119904 (119896)
minus
1
1198871
119880dc (119896) 119906119904 (119896)
(36)
where 119906119904(119896) is the single-phase duty cycles 1198871 = 119871119879 and1198872 = 119877
A DB current controller is chosen as follows
119906119904 (119896) =
2
119880dc (119896)[V119904 (119896) minus 1198871119894sref (119896) + (1198871 minus 1198872) 119894119904 (119896)] (37)
Letting 119894jref(119896) = 119894119895(119896 + 1) the closed-loop transfer functionwithout RC is119867(119911) = 119911
minus1Therefore the control delay for DB
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 7
ab bc ca
ia
(a) DB
ab bc ca
ia
(b) DB + CRC
ab bc ca
ia
(c) DB + SHRC
Figure 4 Steady-state response for three-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
t (s)
minus3
minus2
minus1
0
1
2
3
29 3 31 32 33 34 35 36 3728
iaref minus ia (A)
(a) CRC
t (s)29 3 31 32 33 34 35 36 3728
minus3
minus2
minus1
0
1
2
3
iaref minus ia (A)
(b) SHRC
Figure 5 Current tracking error histories with two RCs plugged into for three-phase grid-connected inverter system
current controller is only one step that is one sample periodin theory which can achieve fast dynamic response
Using the parameter values shown in Table 2 the math-ematical model of the single-phase grid-connected invertersystem in (36) can be rewritten into
119894119904 (119896 + 1) = 09833119894119904 (119896) + 00333V119904 (119896) minus 04167119906119904 (119896) (38)
and the DB current controller can be used with the samecoefficients in (34) for a convenient implementation purposeas follows
119906119904 (119896) = 004V119904 (119896) minus 12119894sref (119896) + 118119894119904 (119896) (39)
52 Experimental Results Figure 7(a) shows the experimen-tal result with single DB controller It can be seen that currentdistortion is relatively serious that is the current waveformis not a smooth sine wave
Figures 7(b) 7(c) and 8 show the steady-state responseand the current error convergence histories with CRC con-troller and the proposed SHRC controller being pluggedinto the DB controlled single-phase grid-connected inverterrespectively For comparability both RC gains are 119896rc =
02 Figures 7(b) and 7(c) show the current distortions forboth CRC and SHRC controllers can be greatly improvedMoreover it can be clearly seen from Figure 8 that the
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
8 Mathematical Problems in Engineering
Switching
PWMgenerator
S1
S2
S3
S4
RCu
DB
Calculation
PLL
Udc
Udc
urminusminus
minus
minus
minus1is
is
is
Pref
Qref
s
s
s
Ipeak
isref sin
L R
e +
++
+
+
+
+
times
120587
divide
signals (S1ndashS4)
tanminus1
Figure 6 Repetitive controlled single-phase grid-connected PWM inverter
s
is
(a) DB
s
is
(b) DB + CRC
s
is
(c) DB + SHRC
Figure 7 Steady-state response for single-phase grid-connected inverter system (119909 label 25msdiv 119910 label 20Vdiv amp 2Adiv)
current error convergence times for CRC and SHRC are032 s and 016 s respectively Therefore the current errorconvergence rate of the proposed SHRC controller is nearlytwo times faster than that of CRC controller (as indicated inSection 33)
Therefore the effectiveness of SHRC for single-phasePWM grid-connected inverter system and its advantagecompared with CRC are verified
6 Conclusions
This paper proposed an internal-model-principle-based(IMP-based) specific harmonics RC (SHRC) Using the gen-eral properties of IMP-based controller and the propertiesof exponential function it can be concluded that SHRC canachieve zero-error tracking or perfect disturbance rejectionof specific periodic signal only including these specific
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Mathematical Problems in Engineering 9
26 27 28 29 3 31 32 33 3425t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(a) CRC
25 26 27 28 29 3 31 32 3324t (s)
minus4
minus3
minus2
minus1
0
1
2
3
4
isref minus is (A)
(b) SHRC
Figure 8 Current tracking error histories with two RCs plugged into for single-phase grid-connected inverter system
119899119896 plusmn 119898 order harmonic components at 1198992 times faster errorconvergence rate compared with conventional RC (CRC)
Two application examples of SHRC controlled three-phasesingle-phase grid-connected PWM inverters havebeen given to show the effectives and promising advantagesof SHRCThe experimental results show that compared withCRC SHRC offers three times (for three-phase inverter)or two times (for single-phase inverter) faster current errorconvergence rate and yields nearly the same current track-ing accuracy The proposed IMP-based SHRC provides ahigh performance control solution to grid-connected PWMinverters
Competing Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This work was supported in part by the Natural ScienceFoundation of China under Grant 51407084 by the Funda-mental Research Funds for the Central Universities underGrant JUSRP11461 by the Jiangsu Province Science andTechnology Support Project under Grant BE2013025 by theNatural Science Research key Project of Anhui ProvincialEducation Department under Grant KJ2014A026 by theNational Natural Science Foundation of Anhui Provincialunder Grant 1508085ME86 and by the Jiangsu ProvinceNatural Science Foundation under Grant BK20130159
References
[1] B Francis O A Sebakhy and W M Wonham ldquoSynthesis ofmultivariable regulators the internal model principlerdquo AppliedMathematics and Optimization vol 1 no 1 pp 64ndash86 1974
[2] B A Francis andWMWonham ldquoThe internalmodel principleof control theoryrdquo Automatica vol 12 no 5 pp 457ndash465 1976
[3] S Hara Y Yamamoto T Omata and M Nakano ldquoRepetitivecontrol system a new type servo system for periodic exogenous
signalsrdquo IEEE Transactions on Automatic Control vol 33 no 7pp 659ndash668 1988
[4] M Tomizuka ldquoZero phase error tracking algorithm for digitalcontrolrdquo Journal of Dynamic Systems Measurement and Con-trol vol 109 no 1 pp 65ndash68 1987
[5] M Tomizuka T-C Tsao and K-K Chew ldquoDiscrete-timedomain analysis and synthesis of repetitive controllersrdquo inProceedings of the American Control Conference pp 860ndash866Atlanta Ga USA 1988
[6] R Grino and R Costa-Castello ldquoDigital repetitive plug-in con-troller for odd-harmonic periodic references and disturbancesrdquoAutomatica vol 41 no 1 pp 153ndash157 2005
[7] K Zhou K-S Low DWang F-L Luo B Zhang and YWangldquoZero-phase odd-harmonic repetitive controller for a single-phase PWM inverterrdquo IEEE Transactions on Power Electronicsvol 21 no 1 pp 193ndash201 2006
[8] R Costa-Castello R Grino and E Fossas ldquoOdd-harmonicdigital repetitive control of a single-phase current active filterrdquoIEEE Transactions on Power Electronics vol 19 no 4 pp 1060ndash1068 2004
[9] B Zhang D Wang K Zhou and Y Wang ldquoLinear phase leadcompensation repetitive control of a CVCF PWM inverterrdquoIEEE Transactions on Industrial Electronics vol 55 no 4 pp1595ndash1602 2008
[10] G Escobar P G Hernandez-Briones P R Martinez MHernandez-Gomez and R E Torres-Olguin ldquoA repetitive-based controller for the compensation of 6ℓplusmn 1 harmoniccomponentsrdquo IEEE Transactions on Industrial Electronics vol55 no 8 pp 3150ndash3158 2008
[11] G Escobar P R Martınez J Leyva-Ramos and P MattavellildquoA negative feedback repetitive control scheme for harmoniccompensationrdquo IEEE Transactions on Industrial Electronics vol53 no 4 pp 1383ndash1386 2006
[12] K Zhou D Wang B Zhang Y Wang J A Ferreira and SW de Haan ldquoDual-mode structure digital repetitive controlrdquoAutomatica vol 43 no 3 pp 546ndash554 2007
[13] K K Chew and M Tomizuka ldquoDigital control of repetitiveerrors in disk drive systemsrdquo IEEE Control Systems Magazinevol 10 no 1 pp 16ndash20 1990
[14] C Cosner G Anwar and M Tomizuka ldquoPlug in repetitivecontrol for industrial robotic manipulatorsrdquo in Proceedings ofthe IEEE International Conference on Robotics and Automationvol 3 pp 1970ndash1975 Cincinnati Ohio USA May 1990
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
10 Mathematical Problems in Engineering
[15] H L Broberg and R G Molyet ldquoReduction of repetitiveerrors in tracking of periodic signals theory and application ofrepetitive controlrdquo in Proceedings of the 1st IEEE Conference onControl Application Dayton Ohio USA 1992
[16] K Zhou D Wang and K-S Low ldquoPeriodic errors eliminationin CVCF PWM DCAC converter systems repetitive controlapproachrdquo IEE ProceedingsmdashControl Theory and Applicationsvol 147 no 6 pp 694ndash700 2000
[17] K Zhou and D Wang ldquoDigital repetitive learning controllerfor three-phase CVCF PWM inverterrdquo IEEE Transactions onIndustrial Electronics vol 48 no 4 pp 820ndash830 2001
[18] K Zhou andDWang ldquoDigital repetitive controlled three-phasePWM rectifierrdquo IEEE Transactions on Power Electronics vol 18no 1 pp 309ndash316 2003
[19] P Mattavelli and F P Marafao ldquoRepetitive-based control forselective harmonic compensation in active power filtersrdquo IEEETransactions on Industrial Electronics vol 51 no 5 pp 1018ndash1024 2004
[20] W Lu K Zhou D Wang and M Cheng ldquoA general parallelstructure repetitive control scheme for multiphase DC-ACPWM convertersrdquo IEEE Transactions on Power Electronics vol28 no 8 pp 3980ndash3987 2013
[21] W Lu K Zhou D Wang and M Cheng ldquoA generic digital119899119896 plusmn 119898-order harmonic repetitive control scheme for PWMconvertersrdquo IEEE Transactions on Industrial Electronics vol 61no 3 pp 1516ndash1527 2014
[22] W Lu K Zhou andDWang ldquoGeneral parallel structure digitalrepetitive controlrdquo International Journal of Control vol 86 no1 pp 70ndash83 2013
[23] G C Goodwin S F Graebe and M E Salgado Control SystemDesign Prentice Hall Upper Saddle River NJ USA 2001
[24] I S Gradshteyn and I M Ryzhik Table of Integrals Series andProducts Academic Press San Diego Calif USA 7th edition2007
[25] W Lu K Zhou and Y Yang ldquoA general internal modelprinciple based control scheme for CVCF PWM convertersrdquo inProceedings of the 2nd IEEE International Symposium on PowerElectronics for Distributed Generation Systems (PEDG rsquo10) pp485ndash489 Hefei China June 2010
[26] H Akagi H E Watanabe and M Aredes InstantaneousPower Theory and Applications to Power Conditioning WileyHoboken NJ USA 2007
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of