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(1)

Automatic Control Systems -Lecture Note 2-

Introduction 2

(2)

Type of Control System

◈ Open-loop control system

◈ Closed-loop control system

Concept of Automatic Control

(3)

System : a collection of things which operates as a whole with input and output

Plant : a physical object as control target of control system

Process : a plant dealing with chemical, thermodynamic, or fluid dynamics quantity of output like as temperature, pressure, fluid, water level, pH, etc.

Reference input : a command signal output is supposed to track

Terminology

□ Definition of terms

(4)

Disturbance : an unexpected external signal which have a negative influence on the output performance of system

Measurement noise : an additive signal to sensor measurement of output

Feedback control : a closed-loop control method whose output signal is fed back to the input of control system

Closed-loop control : = feedback control

Open-loop control : a control method with only the reference control input without any feedback signal

Terminology

(5)

Servo system : a control system whose output signal represents physical or mechanical quantity like as position, velocity,

acceleration, etc.

Process control system : a control system which is aiming at managing its whole operation flow and manufacturing process Time-varying system : a system whose input-output characteristic is time variant

Time-invariant system : a system whose input-output transfer characteristic is not variant with time

Linear system : a system whose input-output transfer function model G satisfies

where are inputs and arbitrary constants.

1 2 1 2

( ) ( ) ( )

Gu u G u G u

, u

u

,

Terminology

(6)

Nonlinear system : a system which is not linear

Control objective : a design goal whose control system is aiming at

Stability

Command following Disturbance rejection Noise reduction

Terminology

(7)

Open-loop Control :

u G

input

y

output

<Fig> Constant Gain System

Feedback Concept

□ What and Why?

(8)

‧ An Ideal Case : with known constant gain and without disturbance and noise, the open-loop inverse gain control achieves the control objective of tracking

G -1 G

r

Reference input

controller

u y

Control

input output

plant

<Fig> Open-loop control

1

( 1) u G r

y Gu G G r r

  

Feedback Concept

(1)

(9)

‧ Problem : the ideal case does not apply to real system

‧ Uncertainty in system model parameter, external disturbance, and sensor noise exist :

d u

G G

y  (   ) 

Feedback Concept

(2)

•G : nominal gain

•Del G : system modeling parameter error

•d : external disturbance

(10)

G

G

d

y

u +

+ +

+

<Fig> Uncertain Constant Gain Plant Assuming the open-loop inverse gain control

1 1

( )

yG  G G rd   r GG rd

d r GG

r

y ( 1) Tracking error exists

1

G

Feedback Concept

(3)

(11)

<Note>

① Gain error ΔG and disturbance d induce control error

② Since ΔG and d are not known, the open-loop control can not achieve the perfect tracking of reference input or

reduction of disturbance

Feedback Concept

(12)

G

G r + C

-

e u + + +

+ y

d

<Fig> Feedback Control System

C e

y r

e  

) (r y C

Ce

u

( ) ( ) ( )

yG   G u   d G   G C r   y d

: controller : control error

(4)

Feedback Concept

(13)

C d G r G

C G G

C G y G

) (

1

1 )

( 1

) (

 

 

C

When the control gain is large and approaches to infinity

( ) 1

1, 0

1 ( ) 1 ( )

G G C

G G C G G C

   

     

(5)

(6)

. r y

implying

Feedback Concept

(14)

<Note>

① The larger C, the better tracking performance and lesser effect of disturbance  called high gain theorem

② The high gain theorem applies only to the case without the sensor noise of output measurement

Feedback Concept

(15)

‧ Feedback Control System with Sensor Noise

G

G r + C

-

e u + + +

+ y

d

+ v

+

<Fig> Feedback Control System

v

Feedback Concept

: sensor noise

(16)

High Control Gain implies

‧ How to design controller gain C  how to balance the disturbance gain and noise gain

C v G G

C G d G

C G r G

C G G

C G y G

) (

1

) (

) (

1

1 )

( 1

) (

 

 

  (7)

r v

r

y   

Feedback Concept

1 ) |

( 1

)

| ( ) |

( 1

| 1 

 

G G C

C G G

C G G

(17)

Idle-Speed Control of Automobile

Control System Example

(18)

Sun-Tracking Control of Solar Collectors

Control System Example

(19)

Elevators

Control System Example

(20)

a. Early elevators were controlled by hand ropes or an elevator operator.

b. Today, elevators are fully automatic, using control systems to regulate position and velocity.

Control System Example

(21)

Robots

Control System Example

(22)

Video Laser Disc Player

Control System Example

(23)

Industrial and Intelligent Service Robot Systems Hybrid Car Motor Control Systems

Semiconductor Process Control Systems Communication Network Control Systems Telecommunication Device Control Systems Embedded Control Systems

Steel Mill Process Control Systems

Automobile Active Suspension Control Systems Intelligent Building Automation Control Systems Flight Guidance Control Systems

Power Plant Distributed Control Systems

Control System Example

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