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Automatic Control Theory- The Classical Approach

Automatic Control Theory- The Classical Approach

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Page 1: Automatic Control Theory- The Classical Approach

Automatic Control Theory-

The Classical Approach

Page 2: Automatic Control Theory- The Classical Approach

Reference Book

• Flight Stability and Automatic Control By- Robert C. Nelson (second edition)

Page 3: Automatic Control Theory- The Classical Approach

Introduction

Page 4: Automatic Control Theory- The Classical Approach

Introduction(cont..)

• Control theory deals with the analysis and synthesis of logic for the control of a system

• In the broadest sense, a system can be thought of as a collection of components or parts that work together to perform a particular function.

• The airplane is an example of a complex system designed to transport people and cargo.

Page 5: Automatic Control Theory- The Classical Approach

Introduction(cont..)

• Control theory developed along with two different analytical approaches.

– Classical or Conventional Approach(begins in late 1930s, based on frequency response methods, the root locus technique, transfer functions and Laplace transforms. Foundation based upon the work of Bode, Nyquist and Evans)

Page 6: Automatic Control Theory- The Classical Approach

Introduction(cont..)

– Modern Control Theory( developed in the 1960s, based on the state-space formulation of the system.)

Page 7: Automatic Control Theory- The Classical Approach

Classification of Control System

• Open-loop control system• Closed-loop control system

Page 8: Automatic Control Theory- The Classical Approach

Feedback Control System

• The typical closed-loop feedback control system is composed of a forward path, a feedback path and an error detection device called comparator.

Page 9: Automatic Control Theory- The Classical Approach

Transfer Function

• Each component of the control system is defined in terms of its transfer function.

• The transfer function of each element of the control system can be determined from the equations that govern the dynamic characteristics of the element.

Page 10: Automatic Control Theory- The Classical Approach

Transfer Function(cont..)

Page 11: Automatic Control Theory- The Classical Approach

Routh’s Criterion

• The roots of the characteristic equation tell whether or not the system is dynamically stable.

• If all the roots of the characteristic equation have negative real parts the system will be dynamically stable.

• On the other hand, if any root of the characteristic equation has a positive real part the system will be unstable.

Page 12: Automatic Control Theory- The Classical Approach

Routh’s Criterion(cont..)

• The system is considered to be marginally stable if one or more of the roots is a pure imaginary number.

• The marginally stable system represents the boundary between a dynamically stable or unstable system.

Page 13: Automatic Control Theory- The Classical Approach

Routh’s Criterion(cont..)

• Consider the characteristic equation

Conditions are– All the coefficients of the characteristic equation must

have the same sign.– All the coefficients must exist.

Page 14: Automatic Control Theory- The Classical Approach

Routh’s Criterion(cont..)

Page 15: Automatic Control Theory- The Classical Approach

Routh’s Criterion(cont..)

• Example-

• Example(2)-

Page 16: Automatic Control Theory- The Classical Approach

Root Locus Technique

• The root locus technique was introduced by W.R.Evans in 1949. He developed a series of rules that allow the control systems engineer to quickly draw the root locus diagram.

• The root-locus method is a technique for determining the roots of the closed loop characteristic equation of a system as a function of the static gain .[1]

• This method is based on the relationship that exists between the roots of the closed loop transfer function and the poles and zeros of the open loop transfer function.[1]

Page 17: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

• In the transfer function, the denominator is the characteristic equation of the system.

• In control terminology, the characteristic roots are called poles of the transfer function.

• The roots of the numerator are called zeros.

• The roots of characteristic equation(or poles) must be negative real parts if the system is be stable. In control system design, the location of the poles of the closed loop transfer function allows the designer to predict the time-domain performance of the system.

Page 18: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

Page 19: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

• Any pole lying in the left half portion of the complex plane is stable; that is, the response decays with time.

• Any pole in the right half plane leads to a response that grows with time, which will result in an unstable system.

• The farther the root is to the left of the imaginary axis, the faster the response decays.

Page 20: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

• All poles lying along a particular vertical line will have the same time to half amplitude.

• Poles lying along the same horizontal line have the same damped frequency, ω , and period.

• The farther the pole is from the real axis, the higher the frequency of the response will be.

Page 21: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

• Poles lying along a radial line through the origin have the same damping ratio, ζ ,and roots lying on the same circular arc around the origin will have the same undamped natural frequency.

• Finally poles lying on the imaginary axis lead to undamped oscillations.

Page 22: Automatic Control Theory- The Classical Approach

Root locus concept

Page 23: Automatic Control Theory- The Classical Approach

Root locus concept

Page 24: Automatic Control Theory- The Classical Approach

Root Locus Technique(contd)

Page 25: Automatic Control Theory- The Classical Approach

Advantages of root locus technique

• It gives a clear idea of the effect of gain adjustment with relatively small effort compared other methods.

• It gives a clear idea about the stability

• It gives some idea about transient response of the system, indicating whether the system is over damped, under damped or critically damped

Page 26: Automatic Control Theory- The Classical Approach

Example: 01

Let,

The close loop T.F.

)2)(1()2()(1

)(

)(

)(

)2()(

2 ssss

k

kss

k

sG

sG

sR

sC

ss

ksG

Page 27: Automatic Control Theory- The Classical Approach

Rules for graphical construction of the root locus plot

Page 28: Automatic Control Theory- The Classical Approach
Page 29: Automatic Control Theory- The Classical Approach

Example: 02

• Draw the approximate root locus diagram for a closed loop system whose open loop transfer function T.F is given by

kfor

sss

ksHsG

0

)10)(5()()(

Page 30: Automatic Control Theory- The Classical Approach

Addition of poles and zeros

• Its not possible to satisfy all the performance specification using a single parameter such as system gain.

• This requires the designer to add some form of compensation to the basic control system

• The compensators may be electrical circuits, mechanical devices or electromechanical devices that are add to the system to improve its performance

Page 31: Automatic Control Theory- The Classical Approach

Addition of poles and zeros(contd..)

• The compensators may be add to either forward or backward path.

• The compensators have a transfer function composed with poles and zeros.

Page 32: Automatic Control Theory- The Classical Approach

Addition of poles and zeros(contd..)example: 03

• Construct a root locus plot from the transfer function G(s)H(s) given by

The examine how the locus by the addition of one of the following to the original transfer function(i) simple pole (ii) multiple pole (iii) simple zero

)()()(

1pss

ksHsG

Page 33: Automatic Control Theory- The Classical Approach

Root locus of example 03

Page 34: Automatic Control Theory- The Classical Approach

(Adding a simple pole, p1>p2)

Page 35: Automatic Control Theory- The Classical Approach

(Adding a simple pole, p2>p1)

Page 36: Automatic Control Theory- The Classical Approach

(Addition of two simple poles)

Page 37: Automatic Control Theory- The Classical Approach

Addition of a simple zeros

Page 38: Automatic Control Theory- The Classical Approach

Addition of a simple zeros

Page 39: Automatic Control Theory- The Classical Approach

Additions of poles and zeros

• Root locus plot of a control system can be altered by the addition of poles and zeros.

• The compensator basically is a device that provide a transfer function consisting of poles and zeros or both that can be chosen to move the root locus contour of the compensated system to the desired closed loop pole configuration

• N.B. the addition of a compensator is general increases the order of the system

Page 40: Automatic Control Theory- The Classical Approach

Frequency domain technique

• Aircraft response to control or atmospheric inputs is the steady state response to a sinusoidal input

• If the input to a linear stable system is sinusoidal, then after the transients have died out the response of the system also will be sinusoidal of the same frequency.

• The response of the system is completely described by the ratio of the output to input amplitude and the phase difference over the frequency range from zero to infinity.

Page 41: Automatic Control Theory- The Classical Approach

Frequency domain technique(contd..)

• The magnitude and phase relationship between the input and output signals is called the frequency response of the system

• Transfer function of closed loop feedback system can be written as

Page 42: Automatic Control Theory- The Classical Approach

Frequency domain technique(contd..)

• The frequency response can be obtained readily from the system transfer function by replacing the Laplace variable s by iω

• In terms of magnitude and phase angle-

Page 43: Automatic Control Theory- The Classical Approach

Frequency domain technique(contd..)

• The frequency response information can be plotted in rectangular, polar or logarithmic (Bode) plots

Page 44: Automatic Control Theory- The Classical Approach

Gain and phase margin from root locus

• The gain and phase margin used to determine the relative stability of a control system using frequency response techniques also can be determined from the root locus plot.

Page 45: Automatic Control Theory- The Classical Approach

Control system design

Page 46: Automatic Control Theory- The Classical Approach

THANK YOU ALL