Reduction of Torque Ripple in 3 Phase SRM Drive using Hybrid (Intelligent) Controller · 2018. 11....
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Reduction of Torque Ripple in 3 Phase SRM
Drive using Hybrid (Intelligent) Controller
1 Vanakuri. Divya, Student, Department of EEE, K L University, Guntur, India
2Yalamanchi Amrutha naga sree, Student, Department of EEE, K L University, Guntur, India
3 Sankuri Rajasekhar, Assistant Professor, Department of EEE, K L University, Guntur, India
Abstract- Now a days, Switched Reluctance Motors (SRMs)
attract additional and additional attention. The Switched
Reluctance Motor is easy to construct. It not solely options
a salient pole mechanical device with focused coils, that
permits earlier winding and shorter finish returns than
different forms of motors, but additionally options a salient
pole rotor, that has no conductors or magnets and is
therefore the best of all electrical machine rotors which
merely makes the SRM cheap and reliable, and alongside
its high speed capability and high torsion force to inertia
magnitude relation, makes it a superior selection in several
applications. The target of this paper is to accomplish
craved speed execution of 6/4 Switched Reluctance Motor
(SRM) with decreased drive swells. to acknowledge
enhanced speed execution, PI+FUZZY controller was
presented. Twofold shut circle framework is utilized for the
higher speed execution qualities. to weaken the torsion
compel swell, 3 entirely unexpected administration ways
(PI, fuzzy and PI in addition to fuzzy) which are
anticipated. Reproduction result comes about reassert the
adequacy inside the parts of higher speed execution and
torsion compel swell decrease.
Keywords–Switched reluctance motor drives, device topology,
fuzzy controller.
I. INTRODUCTION
Exchanged Reluctance Motors have benefits
like fast operation, high level of autonomy between
stages, short end-turn, and low latency. Exchanged
Reluctance Drive (SRD) could be a stage less speed
control framework that comprises of SRM, convertor
and controller. Be that as it may, administration system,
converter's topology and streamlining style of SRM have
pivotal impact on execution of SRD. In this manner,
dynamic reproduction of the full SRD has turned out to
be essential. in order to get prime quality administration
in either compel or speed administration applications, it's
fundamental to have relate revise model of the engine
that depicts the drive attributes [1, 2].
The SRM's drive execution is intensely fixated
on its style and absolutely on its administration that
grants for torsion swell diminishment, or for rising the
speed administration. Subsequently, the engine's
numerical model and its precision is essential [3]. SRM
direct and nonlinear model with the voltage and physical
wonder current administration said in [4]. A rearranged
straight model for control framework administration of
SRM with PI controller is offered in [5]. Jin Woo Lee et
al. [6-7], anticipated an engine with scored teeth
however the new engine shapes can affect the basic
torsion worth. In [8] very surprising power
administration methodologies and a drive controller
execution for compel swell decrease are clarified.
Torque swell decrease in exchanged hesitance
engines (SRM) has turned into a genuine investigation
topic for this machine nowadays. In servo administration
applications or once wash administration is required at
low speeds, decrease of compel swell turns into the most
issue in a suitable administration procedure. Amid this
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case, notwithstanding utilizing a fluffy PI-like
administration in light of the fact that the one depicted in
[9], the outcomes aren't palatable thus of the controller's
yield, that is utilized as a kind of perspective flag for the
present administration inside the power convertor,
causes maintained compel motions in relentless state. in
addition, constrain swell modifies with the speed of the
SR engine and with the extent of the heap connected to
that. the essential approach for torque-swell decrease in
SRMs exploitation a disconnected learning procedure is
arranged in [10]. A leap forward disconnected approach
is presented in [11] and [12], conjointly utilize delicate
processing methods to be advised the least complex
perform to reduce the swell. As of late, a considerable
measure of refined learning administration calculations
were arranged [13]-[15] that expanded on-line
approaches adjusting the controller to changes inside the
engine's qualities.
II.PRINCIPLE OPERATION OF SRM
Exchanged Reluctance Motor has wound field
loops of a dc engine for its mechanical gadget windings
and has no curls or magnets on its rotor. Each the
mechanical gadget and rotor have remarkable posts, thus
the machine is seen as a doubly notable machine.
Exchanged Reluctance Motors are made from overlaid
mechanical gadget and rotor centers with Ns=2mq posts
on the mechanical gadget and 𝑁𝑟 shafts on the rotor. The
amount of parts is m and each stage is made from
centered curls put around 2q mechanical gadget shafts.
Most supported arrangement among a few decisions
square measure 6/4 three stage and 8/6 four stage
Switched Reluctance Motors as appeared inside the
figure one. These 2 setups compare to q = 1(one attempt
of mechanical gadget shafts and loops per stage)
however q could likewise be sufficient to2 or 3
moreover. With only one section exchanged on; the rotor
are very still in an exceedingly position that gives least
hesitance to the flux made by that part amid this
position, there'll not be any created compel on the rotor.
Presently if that part is changed over and another part
exchanged on; the rotor encounters a constrain tending to
move it to a base hesitance position love the new part.
Whichever course of development offers the littlest sum
separation to be hostage by the rotor to accomplish the
new least hesitance position is that the bearing of rotor
movement. on an individual premise energized attraction
transfers are dissected abuse the standards of mechanical
gadget vitality transformation Expressions for attraction
torsion are created. These outcomes are frequently
reached out to the exchanged hesitance engine, and
furthermore the expression for the torsion is acquired
𝑇𝑒 = 𝑑𝐿(𝜃,𝑖)
𝑑𝜃 𝑖2
2
(1)
Figure 1: Basic three phase 6/4 SRM
III.CONVERTER TOPOLOGY
The SR drive has additional advantages
contrasted and the standard flexible speed air
conditioning or brushless dc drives (counting perpetual
magnet engine drives). To begin with, shoot through
issues are impractical. This is frequently valid for all SR
convertor circuits therefore of theirs constantly an engine
twisting offbeat with each fundamental power switch
gadget. Second, there's a greater level of freedom
between the stages than is achievable in run of the mill
air conditioning or brushless dc drives. Blame in one
segment (regardless of whether inside the engine or
inside the converter) regularly influences exclusively
that stage; the inverse stages will even now work
severally. Among those converters, the uneven scaffold
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convertor is that the most all around loved and best-
performed one, inside which each area branch comprises
of 2 particular switch components and 2 freewheeling
diodes as appeared in fig 2.
,
VDC Phase A Phase B Phase C
S1
S2
S3
S4
S5
S6D1
D2
D3
D4 D6
D5
Figure 2: Asymmetrical bridge device for three phase 6/4 pole SRM
When switches S1 and S2 are turned ON, the section A
is energized ,as shown in figure 3.
VDCPhase A Phase B Phase C
S1
S2
S3
S4
S5
S6D1
D2
D3
D4 D6
D5
Figure 3: Current path when phase A is energized
At the point when switches S1 and S2 are killed, the
diodes D1 and D2 are forward one-sided. Amid this case
area A is de-energized.as appeared in figure 4.
VDCPhase A Phase B Phase C
S1
S2
S3
S4
S5
S6D1
D2
D3
D4 D6
D5
Figure 4: Current path when phase A is de-energized
IV.SPEED CONTROL OF SRM
A. with PI controller
Here initially PI controller is received to get the
reference current for the comparing speed blunder. By
factor 𝐾𝑝 , 𝐾𝑖 pick up qualities for the PI controller,
keen outcomes territory unit acquired as far as reaction.
Since, the attractive conduct of SRM is extremely
nonlinear, PI controller can't be connected with the
frameworks that have a speedy change of parameters,
accordingly of it may require the alteration of PI
constants inside the time.
Fig 5: Closed loop speed control of SRM
Fig.6.Closed loop speed control of SRM with Torque ripple reduction.
B. with PI+FUZZY controller
It is accepted that the fuzzy logic Controller is
extremely sensitive to load disturbances or fast changes,
once the parameters are well chosen, the response of the
system has excellent time domain characteristics.
However, vital unfaltering state mistake contrasted and
the standard corresponding necessary controller. Fuzzy
controller has the disadvantage of computing time is
much more long that for PI. Hence it'll be higher to
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decide on the mixture of PI and FUZZY. It means the
system will be well controlled by PI that is supervised by
a fuzzy system. Rules for the fuzzy logic controller are
tabulated as follows.
Fig 7: Membership functions for FLC
Table 1: Fuzzy Rules for FLC
Fuzzy rules can be explained as follows
Rule 1 if ∆ω = S and ∆ω′= M/S then 𝐼𝑟𝑒𝑓 =S
Rule 2 if ∆ω = M/H and ∆ω′= M then 𝐼𝑟𝑒𝑓 =M/S
Rule 3 if ∆ω = H and ∆ω′=M/H then 𝐼𝑟𝑒𝑓 =M/H
As indicated by the component of control speed
framework specified and measure of speed inspecting,
speed blunder ∆ω ,change in mistake ∆ω′ and Current ref
are started to have scope of - 1000-1000rpm, - 200-200
and 0-10A,. The spaces of the information factors range
unit changed to - 5 to five and zone unit partitioned into
5 fluffy districts. The area of the yield variable is zero to
ten and is also partitioned into five fluffy districts, that is
[0,2.5,5,7.5,10].The corresponding linguistic variables of
the input fuzzy regions area unit Small(S), Medium to
Small(M/S), Medium(M), Medium to High(M/H),
High(H). Every region is assigned a fuzzy membership
operate. During this work, the fuzzy sets area unit
chosen to be triangular shapes and therefore the center of
space (COA) methodology of de-fuzzification is
employed.
C. Torque ripple reduction
There are several factors to have an effect on
the force ripple, like rotor and/or stator coil form, air
length, commutation strategy, management strategy then
on, however the foremost necessary issue is part current.
This paper presents varied methods to cut back force
ripple for a Switched Reluctance Motor. 1st strategy is to
develop the inner force loop to get current reference so
as to reduce the force ripple. The magnetism force that is
obtained from the motor is taken to induce the present
reference from the relation T ∝ 𝐼2 Fig.6 shows the
diagram model for torsion ripple reduction. second is
modification in rotor pole arc at the planning stage. By
dynamical the rotor pole arc of the SRM conjointly
torsion ripple has been reduced to bound limit. On the
off chance that the rotor shaft circular segment is greater
than that of the stator loop post curve, there's no
unmistakable benefit as far as torsion generation on the
SRM if a perfect current kill is imagined [8] .
Perfect current kill is unrealistic with SRMs, as
they need imperative inductance. Indeed, the most
essential inductance is experienced at kill, wherever it's
apparently at the totally adjusted position of the
mechanical gadget and rotor shafts wherever the
inductance is at its most. Along these lines, it gets to be
distinctly important to flaunt the streams even before
they achieve the absolutely adjusted position. Thus, to
use the torque-delivering positive inductance slant area
absolutely, it is essential that the present be kept up
inside the district. On the off chance that the present
proceeds on the far side the positive slant district, then a
negative torsion is made in SRMs with equal mechanical
device and rotor pole arcs, as a result of there's no zero
slope inductance region, because of the negative torsion
generation, the typical per mechanical device section is
reduced. Accordingly, it gets to be distinctly important to
flaunt the streams even before they achieve the
completely adjusted position. And it's higher to avoid
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equal pole arcs. to own a higher general read of the
torsion ripple, outline the torsion ripple coefficient:
𝑇𝑅𝐼𝑃𝑃𝐿𝐸 =𝑇(max) − 𝑇(min)
𝑇(𝑎𝑣𝑔)
%
Where T(max), T(min) are the maximal esteem and
insignificant estimation of aggregate torque, T(avg) is
the normal estimation of aggregate torque.
V. SIMULATION RESULTS
The SRM drive is simulated with PI, fuzzy
controller alone and with PI plus FUZZY controller
exploitation MATLAB/SIMULINK. and therefore the
results obtained square measure shown in fig. 7. From
the figure we will clearly observe the unfaltering state
and transient reaction of the model. By utilizing PI plus
FUZZY controller. But it has significant steady state
error which can be reduced by PI controller. Hence by
using a combination of these controllers, the response of
the model increases to certain extent.
Case I: SRM with PI Controller.
Fig.7.Matlab/Simulation model of SRM drive with PI controller
Fig.8.Current waveform of SRM with PI Controller.
Fig.9.Torque waveform of SRM with PI Controller.
Fig.10.Speed response of SRM with PI Controller.
Case II: SRM with fuzzy Controller
Fig.11.Matlab/simulation model of SRM drive with fuzzy controller.
Fig.12.Current waveform of SRM with fuzzy Controller.
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Fig.13.Torque waveform of SRM with Fuzzy Controller.
Fig.14.Speed response of SRM with fuzzy Controller.
Case III: SRM with PI+fuzzy Controller
Fig.15.Matlab/Simulation model of SRM drive with PI+fuzzy
controller
Fig.16.Current waveform of SRM with PI+fuzzy Controller.
Fig.17.Torque waveform of SRM with PI+Fuzzy Controller.
Fig.18.Speed response of SRM with PI+fuzzy Controller.
VI. CONCLUSION
This paper presents the shut circle control of three stage
exchanged hesitance engine (SRM) drive. Another
unbalanced scaffolds converter topology is implemented
for the drive system. Closed-loop system management
exploitation PI controller with totally different 𝐾𝑃 and 𝐾𝐼
values are bestowed. during this paper, an effective
element demonstrate for reproducing customizable speed
execution of a SRM drive has been delineate very well
SRM modeling, speed performance analysis with PI,
fuzzy and PI plus FUZZY controller has been presented.
With the PI plus FUZZY controller the steady state and
transient response is improved. Along with this, Torque
ripple reduction of SRM using three different methods is
discussed. Torque ripple is calculated by taking inner
torque loop, with which ripple has been reduced to
considerable amount. By applying the remaining two
methods, we can get reduced torque ripple for different
applications. This layout is an immaculate device to
approve the execution of the different administration
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calculations all through consistent state related transient
condition of a SRM drive for any very applications.
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