automatic control system iv. time domain performance stability

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Automatic Control System IV. Time domain performance Stability

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Page 1: Automatic Control System IV. Time domain performance Stability

Automatic Control System

IV.

Time domain performance

Stability

Page 2: Automatic Control System IV. Time domain performance Stability

Transfer functions of closed loop

Gp2(s)( )e s

( )w s

( )y sGr(s)

Gw(s)

Gp1(s)Ga(s)Gc(s)

Gt(s)

( )r s

1 2

1 2

( )1

c a p pry

c a p p t

G G G GyW s

r G G G G G t2p1pacre GGGGG1

1

r

e)s(W

2

1 2

( )1

w pwy

c a p p t

G GyW s

w G G G G G2

1 2

( 1)( )

1

w p t

wec a p p t

G G GeW s

w G G G G G

( )My s

Page 3: Automatic Control System IV. Time domain performance Stability

Steady-state characteristic of the feedback system

R

Y

r(t)

y(t)

t

t

The unit step response of the feedback systems shows the quality parameters in time domain.

WP2

WP1

Dynamic response of the feedback system

Page 4: Automatic Control System IV. Time domain performance Stability

Time domain performance specification(rv-fv) = Steady-state error

Tolerance band

Settling time

Required value of response (rv)

Final value (fv) of response It’s 100%

Peak value (pv)

Rise time

10%

90%

Second peak value (spv)

fv

fvpvootOver

100sh%

0

)( dttyfvIa

Page 5: Automatic Control System IV. Time domain performance Stability

Stability of a closed loop system

Definition of stability of linear system: Energised the closed-loop system input a short impulse which move the system from it’s steady-state position and wait. When the transient response has died and the system remove the original position or remain inside a predicted defined small area of the original position the system is stable and linear.

Definition of stability of non-linear system: Energised the closed-loop system input a short impulse which move the system from it’s steady-state position and wait. If the system remove and remain inside a predicted defined small area of the original position the system is stable.

If the transient response hasn’t died the system is unstable.

)(sGc ( )PFG s)s(G)s(G1

)s(G)s(G)s(W

)s(r

)s(y

PFC

PFCyr

Page 6: Automatic Control System IV. Time domain performance Stability

Stability examination from closed loop transfer function

)(sGC )(sGPF

nm

m

m

mn

n

n dt

trdb

dt

tdrbtrbtya

dt

tdya

dt

tyda

)()()()(

)()(1001

011

1

011

1

)()(

)(

)()(

1

)()(

)()(

)(

asasasa

bsbsbsb

sNsD

sN

sDsN

sDsN

sWsr

syn

nn

n

mm

mm

yr

r(s) y(s)

Unit feedback model

)(

)()()()(0 sD

sNsGsGsG PFC

)()()()(

)()()()(

011

1

011

1

srbssrbsrsbsrsb

syassyasysasysam

mm

m

nnm

nn

Page 7: Automatic Control System IV. Time domain performance Stability

Continuation of stability examination from closed loop

)(sGc )(sGp

n

ii

m

jjm

ps

zsb

1

1

)(

)(

n

i

ticTransient

ieKtx1

)(

The transient solution is given bz the roots of the differential equation’s characteristic equation.

0011

1 aaa n

nn

The roots are equal the denominator of closed loop transfer function and so it gives transient solution too.

0011

1 asasas n

nn

Page 8: Automatic Control System IV. Time domain performance Stability

Definition of stability in frequency domain

)(sGc )(sGp

The system is stable if the all real part of the rootsof denominator of the transfer function is negative.

0)()(1 sGsG pc

n

1ii

m

1jjm

)ps(

)zs(b

)s(r

)s(y

The pi are named the poles and zj are named the zeros

Page 9: Automatic Control System IV. Time domain performance Stability

Re

Implanes _

The root loci depends on the arrangement of poles and zeros and changing a parameter. The default: K runs from zero value to infinite. The loci shows the actual the roots’ positions at actual parameters’ value.

Stability examination from closed loop’s transfer function

)(sGc )(sGp

The root locus diagram

Poles arrangement of actual value of K

Poles and zeros arrangement

)()(

)(

)()(

1

)()(

)(sKNsD

sNK

sDsN

K

sDsN

KsWrc

Page 10: Automatic Control System IV. Time domain performance Stability

Re

Im

planes _

Advantages of stability examination from closed loop’s transfer function

Poles and zeros arrangement

Acceptable region for poles

Minimum damping ratio ofthe second order parts of transfer function

Maximum settling time

Using the results derived for first andsecond-order systems enables a boundeddesign region to be drawn on the s planewithin which the poles produce anacceptable performance.

Page 11: Automatic Control System IV. Time domain performance Stability

Stability examination from transfer function of opened-loop

)(sGc )(sGp

)s(G)s(G)s(G 0pc

Opened-loop transfer function

01)(0)(1 jjGsG olol From definition of stability:180j)(j

0 e1e)(A0j1)j(G

The frequency at which the open-loop system gain is unity is termedthe gain-crossover frequency. The frequency at which the open-loop system phase-shift is -180° is termed the phase-crossover frequency.

The system is stable if plots of the opened-loop transfer functionat the gain-crossover frequency the phase-shift less than -180° andat the phase-crossover frequency the amplitude gain less than unity.

Page 12: Automatic Control System IV. Time domain performance Stability

Gain margin and phase margin

Opened-loop transfer function)()(01)( j

ol eAjjG

The gain margin is the reciprocal of open-loop gain at the phase-crossoverfrequency. Expressed in decibel the gain margins is: -20log(open-loop’s gain at the phase-crossover frequency) dB

The phase margin is the difference of the phase-shift of the system and -180° at the gain-crossover frequency.

The system is stable if plots of the opened-loop transfer function at thegain-crossover frequency has a positive the phase margin and at the phase-crossover frequency has a positive the gain margin.

Page 13: Automatic Control System IV. Time domain performance Stability

Stability examination from transfer function of opened-loop

)(j0 e)(A0j1)j(G

Plots on j (s) planeis named Nyquist diagram.

This is a point on the s plane.

If the area of the s plane whichis bordered by the positive realaxis and the Nyquist plotsdoesn’t cover this point than the system is stable.

Independent plots the amplitude gainand phase-shift on lg axis is namedBode diagram.

It is the x axis line on the amplitude plotsand the -180 phase-shift line on thephase-shift plots.

If the gain and phase margin criterion istrue the system is stable.

Page 14: Automatic Control System IV. Time domain performance Stability

Advantages of working with Bode plots

n

1ii

m

1jj

i0

)sT1(

)s1(

s

K)s(GBode form of

opened-loop transfer function

Bode plots of systems in series simply add.Bode’s important phase-gain relationship is given.A much wider range of system behaviour can be displayed

on a single plot.Dynamic compensator design can be based on Bode plots.

Page 15: Automatic Control System IV. Time domain performance Stability

Using MATLAB

Start of stability examination K=1

First using root’s loci. Enabled damping ratio: 0.72, 0.45, 0,23

Secondly using Bode plots. Enabled phase shift: -120, -135, -150

Define the time domain performance specifications.

K)101)(51)(1(

1

sss

Page 16: Automatic Control System IV. Time domain performance Stability

Summary questions • Definition of stability of linear and non-linear systems.• Which methods have used the closed-loop transfer function to

examine the stability a control system?• Which methods have used the opened-loop transfer function to

examine the stability a control system?• Explain the following terms: phase margin, gain margin.• Explain what is meant by the term “dead time” in control and how

it may affect the stability of a control loop.