pid controller

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Page 1: Pid controller
Page 2: Pid controller
Page 3: Pid controller

Any Practical system is a control system

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+

+

+

RVr(t)

MVu(t)

CONTROLLERD(s)

PLANTG(s)

SENSORH(s)

Error Detector

ActuatingErrore(t)

CVc(t)

Feedback signalb(t)

DisturbanceN(s)

+-

^

Disturbance signalw(t)

Typical Block Diagram model for a Feedback Control System

Page 5: Pid controller

Proportional control

+

r(t) u(t) G(s)K

H(s)

c(t)e(t)

-

Control action:- u(t)=Ke(t)Effect on Steady State Response:- Reduces the steady state error

Effect on Transient Response:- Increases the speed of response.

Limitations and shortcomings:- Saturation, noise and instability.

Hence new control schemes (PI, PD) are conceived.

Page 6: Pid controller

Proportional and Integral (PI) control

+

r(t) u(t)K G(s)

H(s)

KI/s

c(t)e(t)

- +

+

Control action:- u(t)=Ke(t)+KI∫e(t)dt

U(s)=(K+ KI/s)E(s) where KI=1/TI , TI=Integral or reset time

Effect on Steady State Response:- steady state error can be reduced to zero exactly.Effect on Transient Response:-Increases peak overshoot & reduces the speed of response.Limitations and shortcomings:- Reduces the stability margin of the system.

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Proportional and Derivative (PD) control

+

r(t) u(t)K G(s)

H(s)

sKD

c(t)e(t)

- +

+

Control action:- u(t)=Ke(t)+KD(de/dt)

U(s)=(K+ sKD)E(s) where KD=KcTD , TD=Derivative or rate time.

Effect on Steady State Response:-Almost no effect.Effect on Transient Response:-Decreases the peak overshoot by improving the effective damping of the system.Limitations and shortcomings:-Amplifies the high frequency noise signals.

Page 8: Pid controller

Proportional ,Integral & Derivative (PID) control

Control action:-By proper adjustment of K, KD,KI the transient and dynamic responses are properly shaped.Problems:-Tuning of PID controller is a difficult job.

+

r(t) u(t)G(s)

H(s)

c(t)e(t)

-+

+

+

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Let

M = Mass=1kg

b =co-efficient of damping= 10 N.s/m

k = spring constant=20 N/m

MASS,SPRING,DAMPER system-A simple 2nd order system

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System without any controller

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Response of the system without any controller

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System with P controller

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Response of the system with P controller

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System with PD controller

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Response of the system with PD controller

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System with PI controller

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Response of the system with PI controller

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System with PID controller

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Response of the system with PID controller

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VOLTAGE

SUPPLY

LOAD

rfafa iLE

+

-

er T,LT

+

-

ar

ai

arr

aL

frr

fi

fr

fu

fL

auaxisquadrature

axisdirect

armature

field

Speed Control system of Separately excited DC motor

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BLOCK DIAGRAM MODEL

w+Tm

+wr er

KP D(S) KT/Ra 1/(Js+B)

Kb

Kt

TW

eb

ea

-+ -+

et

Kp=Potentiometer constant

Kt= Tacho-generator constant

Kb=Back emf constant

KT=Torque constant

Tw=Disturbance torque/ load torque.

Tm=Electromagnetic Torque developed by motor.

D(s)=Controller Transfer Function.

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PROS & CONS

Very popular industrial controller due to its simplicity.Almost 75-85% industrial process controllers are still of this kind.3 way independent control action.

The Tuning of PID controller is a cumbersome.‘Online’, ‘Ziegles Nichols’ , ‘Software Based’, ‘Cohen Coon’ all these tuning methods possess problems.

Futuristic Controller:- Fuzzy logic /Neuro fuzzy logic controller

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ACKNOWLEDGEMENT

•en.wikipedia.org

•www.youtube.com

•‘Modern Control Engineering ‘ by k.Ogata.

•‘Control Systems: Principles and Design’ by Madan Gopal.

•‘PID -controllers, Theory Design and Tuning’ by K Astrom andT Hagglund

•‘Automatic Control Systems’ by B.C Kuo

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!!!!THANK YOU!!!