Lecture 12 time_domain_analysis_of_control_systems

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Feedback Control Systems (FCS) Dr. Imtiaz Hussain email: [email protected]. pk URL :http://imtiazhussainkalwar.weeb ly.com/ Lecture-12 Time Domain Analysis of Control systems

Transcript of Lecture 12 time_domain_analysis_of_control_systems

Page 1: Lecture 12 time_domain_analysis_of_control_systems

Feedback Control Systems (FCS)

Dr. Imtiaz Hussainemail: [email protected]

URL :http://imtiazhussainkalwar.weebly.com/

Lecture-12 Time Domain Analysis of Control systems

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Introduction

• In time-domain analysis the response of a dynamic system to an input is expressed as a function of time.

• It is possible to compute the time response of a system if the nature of input and the mathematical model of the system are known.

• Usually, the input signals to control systems are not known fully ahead of time.

• For example, in a radar tracking system, the position and the speed of the target to be tracked may vary in a random fashion.

• It is therefore difficult to express the actual input signals mathematically by simple equations.

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Standard Test Signals

• The characteristics of actual input signals are a sudden shock, a sudden change, a constant velocity, and constant acceleration.

• The dynamic behavior of a system is therefore judged and compared under application of standard test signals – an impulse, a step, a constant velocity, and constant acceleration.

• Another standard signal of great importance is a sinusoidal signal.

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Standard Test Signals

• Impulse signal– The impulse signal imitate the

sudden shock characteristic of actual input signal.

– If A=1, the impulse signal is called unit impulse signal.

0 t

δ(t)

A

00

0

t

tAt

)(

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Standard Test Signals

• Impulse signal

Source: English Wikipedia. Iain. Original image: [1]

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Standard Test Signals

• Step signal– The step signal imitate

the sudden change characteristic of actual input signal.

– If A=1, the step signal is called unit step signal

00

0

t

tAtu

)( 0 t

u(t)

A

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Standard Test Signals

• Ramp signal– The ramp signal imitate

the constant velocity characteristic of actual input signal.

– If A=1, the ramp signal is called unit ramp signal

00

0

t

tAttr

)(

0 t

r(t)

r(t)

unit ramp signal

r(t)

ramp signal with slope A

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Standard Test Signals

• Parabolic signal– The parabolic signal

imitate the constant acceleration characteristic of actual input signal.

– If A=1, the parabolic signal is called unit parabolic signal.

00

02

2

t

tAt

tp

)(

0 t

p(t)

parabolic signal with slope A

p(t)

Unit parabolic signal

p(t)

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Relation between standard Test Signals

• Impulse

• Step

• Ramp

• Parabolic

00

0

t

tAt

)(

00

0

t

tAtu

)(

00

0

t

tAttr

)(

00

02

2

t

tAt

tp

)(

dt

d

dt

d

dt

d

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Laplace Transform of Test Signals

• Impulse

• Step

00

0

t

tAt

)(

AstL )()}({

00

0

t

tAtu

)(

S

AsUtuL )()}({

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Laplace Transform of Test Signals

• Ramp

• Parabolic

2s

AsRtrL )()}({

3

2

S

AsPtpL )()}({

00

0

t

tAttr

)(

00

02

2

t

tAt

tp

)(

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Time Response of Control Systems

System

• The time response of any system has two components

• Transient response

• Steady-state response.

• Time response of a dynamic system is response to an input expressed as a function of time.

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Time Response of Control Systems• When the response of the system is changed form rest or

equilibrium it takes some time to settle down.

• Transient response is the response of a system from rest or equilibrium to steady state.

0 2 4 6 8 10 12 14 16 18 200

1

2

3

4

5

6x 10

-3

Step Response

Time (sec)

Am

plitu

de

Response

Step Input

Transient Response

Stea

dy S

tate

Res

pons

e• The response of the system after the transient response is called steady state response.

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Time Response of Control Systems

• Transient response dependents upon the system poles only and not on the type of input.

• It is therefore sufficient to analyze the transient response using a step input.

• The steady-state response depends on system dynamics and the input quantity.

• It is then examined using different test signals by final value theorem.

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END OF LECTURE-12

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