Stability Analysis Techniques

Similar documents
Contents. PART I METHODS AND CONCEPTS 2. Transfer Function Approach Frequency Domain Representations... 42

R10. IV B.Tech II Semester Regular Examinations, April/May DIGITAL CONTROL SYSTEMS JNTUK

Chapter 7 : Root Locus Technique

ECE317 : Feedback and Control

Control Systems Engineering ( Chapter 6. Stability ) Prof. Kwang-Chun Ho Tel: Fax:

STABILITY ANALYSIS TECHNIQUES

Remember that : Definition :

ECEN 605 LINEAR SYSTEMS. Lecture 20 Characteristics of Feedback Control Systems II Feedback and Stability 1/27

Fourier Series : Dr. Mohammed Saheb Khesbak Page 34

EE 380. Linear Control Systems. Lecture 10

Control Systems. University Questions

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

ECE317 : Feedback and Control

Course roadmap. ME451: Control Systems. What is Root Locus? (Review) Characteristic equation & root locus. Lecture 18 Root locus: Sketch of proofs

Control Systems. Frequency Method Nyquist Analysis.

Controls Problems for Qualifying Exam - Spring 2014

Test 2 SOLUTIONS. ENGI 5821: Control Systems I. March 15, 2010

Course roadmap. Step response for 2nd-order system. Step response for 2nd-order system

Root locus Analysis. P.S. Gandhi Mechanical Engineering IIT Bombay. Acknowledgements: Mr Chaitanya, SYSCON 07

Digital Control Systems

Chemical Process Dynamics and Control. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University

Essence of the Root Locus Technique

CONTROL * ~ SYSTEMS ENGINEERING

Automatic Control Systems theory overview (discrete time systems)

Root Locus Methods. The root locus procedure

Software Engineering/Mechatronics 3DX4. Slides 6: Stability

Theory of Machines and Automatic Control Winter 2018/2019

Control Systems I. Lecture 9: The Nyquist condition

Course roadmap. ME451: Control Systems. Example of Laplace transform. Lecture 2 Laplace transform. Laplace transform

Discrete State Space Models

Automatic Control Systems

STABILITY ANALYSIS. Asystemmaybe stable, neutrallyormarginallystable, or unstable. This can be illustrated using cones: Stable Neutral Unstable

Outline. Control systems. Lecture-4 Stability. V. Sankaranarayanan. V. Sankaranarayanan Control system

INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad

Root locus 5. tw4 = 450. Root Locus S5-1 S O L U T I O N S

Lecture 12: Examples of Root Locus Plots. Dr. Kalyana Veluvolu. Lecture 12: Examples of Root Locus Plots Dr. Kalyana Veluvolu

Chapter 6 - Solved Problems

INSTITUTE OF AERONAUTICAL ENGINEERING Dundigal, Hyderabad ELECTRICAL AND ELECTRONICS ENGINEERING TUTORIAL QUESTION BANK

ECE 345 / ME 380 Introduction to Control Systems Lecture Notes 8

Poles, Zeros and System Response

7.4 STEP BY STEP PROCEDURE TO DRAW THE ROOT LOCUS DIAGRAM

r + - FINAL June 12, 2012 MAE 143B Linear Control Prof. M. Krstic

Chapter 7. Root Locus Analysis

(b) A unity feedback system is characterized by the transfer function. Design a suitable compensator to meet the following specifications:

CHAPTER 1 Basic Concepts of Control System. CHAPTER 6 Hydraulic Control System

Automatic Control Systems, 9th Edition

CONTROL SYSTEMS ENGINEERING Sixth Edition International Student Version

Control Systems Engineering ( Chapter 8. Root Locus Techniques ) Prof. Kwang-Chun Ho Tel: Fax:

Control Systems. EC / EE / IN. For


Table of Laplacetransform

Module 3F2: Systems and Control EXAMPLES PAPER 2 ROOT-LOCUS. Solutions

ECE317 : Feedback and Control

Chapter 8 SENSITIVITY ANALYSIS OF INTERVAL SYSTEM BY ROOT LOCUS APPROACH

The stability of linear time-invariant feedback systems

VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur

Advanced Control of the Waste Water Treatment Unit in White Nile Tannery

Z Transform (Part - II)

Lecture 1 Root Locus

Systems Analysis and Control

FATIMA MICHAEL COLLEGE OF ENGINEERING & TECHNOLOGY

Plan of the Lecture. Review: stability; Routh Hurwitz criterion Today s topic: basic properties and benefits of feedback control

K(s +2) s +20 K (s + 10)(s +1) 2. (c) KG(s) = K(s + 10)(s +1) (s + 100)(s +5) 3. Solution : (a) KG(s) = s +20 = K s s

Compensation 8. f4 that separate these regions of stability and instability. The characteristic S 0 L U T I 0 N S

Review: stability; Routh Hurwitz criterion Today s topic: basic properties and benefits of feedback control

CHAPTER # 9 ROOT LOCUS ANALYSES

Some special cases

Systems Analysis and Control

HANDOUT E.22 - EXAMPLES ON STABILITY ANALYSIS

IC6501 CONTROL SYSTEMS

Linear Control Systems Lecture #3 - Frequency Domain Analysis. Guillaume Drion Academic year

EC CONTROL SYSTEM UNIT I- CONTROL SYSTEM MODELING

I Stable, marginally stable, & unstable linear systems. I Relationship between pole locations and stability. I Routh-Hurwitz criterion

FEEDBACK and CONTROL SYSTEMS

2.004 Dynamics and Control II Spring 2008

a. Closed-loop system; b. equivalent transfer function Then the CLTF () T is s the poles of () T are s from a contribution of a

SECTION 5: ROOT LOCUS ANALYSIS

UNIT-II Z-TRANSFORM. This expression is also called a one sided z-transform. This non causal sequence produces positive powers of z in X (z).

Systems Analysis and Control


ENGINEERING 6951 AUTOMATIC CONTROL ENGINEERING FINAL EXAM FALL 2011 MARKS IN SQUARE [] BRACKETS INSTRUCTIONS NO NOTES OR TEXTS ALLOWED

"APPENDIX. Properties and Construction of the Root Loci " E-1 K ¼ 0ANDK ¼1POINTS

Transient Response of a Second-Order System

Second Order and Higher Order Systems

R a) Compare open loop and closed loop control systems. b) Clearly bring out, from basics, Force-current and Force-Voltage analogies.

2.161 Signal Processing: Continuous and Discrete Fall 2008

STABILITY OF CLOSED-LOOP CONTOL SYSTEMS

University of Science and Technology, Sudan Department of Chemical Engineering.

Introduction to Process Control

EET 3212 Control Systems. Control Systems Engineering, 6th Edition, Norman S. Nise December 2010, A. Goykadosh and M.

Alireza Mousavi Brunel University

Class 12 Root Locus part II

Control Systems I. Lecture 7: Feedback and the Root Locus method. Readings: Jacopo Tani. Institute for Dynamic Systems and Control D-MAVT ETH Zürich

z Transform System Analysis

DESIGN USING TRANSFORMATION TECHNIQUE CLASSICAL METHOD

Linear Systems Theory

CONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is

1 An Overview and Brief History of Feedback Control 1. 2 Dynamic Models 23. Contents. Preface. xiii

Proportional plus Integral (PI) Controller

Didier HENRION henrion

Transcription:

Stability Analysis Techniques In this section the stability analysis techniques for the Linear Time-Invarient (LTI) discrete system are emphasized. In general the stability techniques applicable to LTI continuous-time systems may also be applied to the analysis of LTI discrete-time systems (if certain modifications are made). 4.1 Stability To introduce the stability concept, consider the LTI system shown in Fig. 4.1. For this system; where z i are the zeros and p i the poles of the system transfer function. Using the partialfraction expansion and for the case of distinct poles, we may write C(z) as; Dr. Mohammed Khesbak Page 89

Where C R (z) contains the terms of C(z) which originate in the poles of R(z). The first n terms are the natural-response terms of C(z). If the inverse z-transform of these terms tend to zero as time increases, the system is considered as stable and these terms are called transient response. The z-transform of the i-th term is Thus, if the magnitude of p i is less than 1, this term approaches zero as k approaches infinity. Note that the factor (z - p i ) originate in the characteristic equation of the system, that is, in The system is stable provided that all the roots lie inside the unit circle in the z-plane. 4.2 Bilinear Transformation Many analysis and design techniques for continuous time LTI systems, such as the Routh- Hurwitz criterion and Bode technique, are based on the property that in the s-plane the stability boundary is the imaginary axis. These techniques cannot be applied to LTI discretetime system in the z-plane, since the stability boundary is the unit circle. However, through the use of the following transformation; ( ) ( ) ( Transforming from z-plane to L-plane) Or ( Transforming from L-plane to z-plane) Dr. Mohammed Khesbak Page 90

The unit circle of the z-plane transforms into the imaginary axis of L-plane. This can be seen through the following development. On the unit circle in the z-plane, and then substitute in the transformation formula; which will result in; Thus it is seen that the unit circle of the z-plane transformation into the imaginary axis of the L-plane. The mapping of the primary strip of the s-plane into both the z-plane (z=e st ) and the L-plane are shown in Figure 4.2. It is noted that the stable region of the L-plane is the left half-plane. Let the j L be the imaginary part of L. We will refer to L as the L-plane frequency. Then; and this expression gives the relationship between frequencies in the s-plane and frequencies in the L-plane. Now, for small values od real frequency (s-plane frequency) such that T is small, Thus the L-plane frequency is approximately equal to the s-plane frequency for this case. The approximation is valid for those values of frequency for which tan( T/2) T/2. Now for; The error in this appromimation is less than 4 percentage. Dr. Mohammed Khesbak Page 91

Figure 4.2 Mapping from s-plane to z-plane to L-plane Dr. Mohammed Khesbak Page 92

4.3 The Routh Hurwitz Criterion The Routh-Hurwitz criterion may be used in the analysis of LTI continuous-time system to determine if any roots of a given equation are in the RIGHT half side of the s-plane. If this criterion applied to the characteristic equation of an LTI discrete time system when expressed as a function of z, no useful information on stability is obtained. However, if the characteristic equation is expressed as a function of the bilinear transform variable (L), then the stability of the system may be determined using directly applying the Routh-Hurwitz criterion. The procedure of the criterion is shown briefly in Table 4.1. Example 4.1: Consider the system shown in Figure 4.3, check the system stability using Routh-Herwits criterion. The Open-Loop function is; After obtaining the z-transform, ( ) [ ( ) ] ( ) [ ( ) ( ) ( ) ( ) ( ) ( )( ) ] Using Bilinear transformation; ( ) ( ) ( ) ( ) Therefore; ( ) Dr. Mohammed Khesbak Page 93

Dr. Mohammed Khesbak Page 94

Dr. Mohammed Khesbak Page 95

Dr. Mohammed Khesbak Page 96

4.4 Jury s Stability Test Dr. Mohammed Khesbak Page 97

Dr. Mohammed Khesbak Page 98

Dr. Mohammed Khesbak Page 99

Dr. Mohammed Khesbak Page 100

Dr. Mohammed Khesbak Page 101

4.5 ROOT LOCUS Dr. Mohammed Khesbak Page 102

Dr. Mohammed Khesbak Page 103

Dr. Mohammed Khesbak Page 104

Dr. Mohammed Khesbak Page 105