Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.

Slides:



Advertisements
Similar presentations
Signal Processing in the Discrete Time Domain Microprocessor Applications (MEE4033) Sogang University Department of Mechanical Engineering.
Advertisements

3. Systems and Transfer function
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Chapter 5 Analysis of CCS.
AMI 4622 Digital Signal Processing
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Transient and steady state response (cont.)
Modern Control Theory (Digital Control)
Chapter 8: System Stability.
Digital Control Systems Stability Analysis of Discrete Time Systems.
5.7 Impulse Functions In some applications, it is necessary to deal with phenomena of an impulsive nature—for example, voltages or forces of large magnitude.
EE513 Audio Signals and Systems Digital Signal Processing (Systems) Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
2. Z-transform and theorem
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Stability and the s-Plane Stability of an RC Circuit 1 st and 2 nd.
Review Automatic Control
f(t) m x(t) fd(t) LINEAR CONTROL C (Ns/m) k (N/m)
Chapter 8 Discrete (Sampling) System
Automatic Control Theory-
Automatic Control System
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: Stability and the s-Plane Stability of an RC Circuit Routh-Hurwitz Stability.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Feedback Control System THE ROOT-LOCUS DESIGN METHOD Dr.-Ing. Erwin Sitompul Chapter 5
Control Engineering Lecture# 10 & th April’2008.
ME375 Handouts - Spring 2002 MESB System Modeling and Analysis System Stability and Steady State Response.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Chapter 5 On-Line Computer Control – The z Transform.
1.1 Introduction Comparison between ACS and CCS. ACS CCS Process Actuator Measure Controller (correcting network) Structure: Process Actuator Measure.
1 Z-Transform. CHAPTER 5 School of Electrical System Engineering, UniMAP School of Electrical System Engineering, UniMAP NORSHAFINASH BT SAUDIN
Ch6 The Root Locus Method. Main content §The Root Locus Concept §The Root Locus Procedure §Generalized root locus or Parameter RL §Parameter design by.
Chapter 7 Stability and Steady-State Error Analysis
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Systems
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Chapter 6: Sampled Data Systems and the z-Transform 1.
Chapter 11 1 Stability of Closed-Loop Control Systems Example 11.4 Consider the feedback control system shown in Fig with the following transfer.
Chapter 5: Root Locus Nov. 8, Key conditions for Plotting Root Locus Given open-loop transfer function G k (s) Characteristic equation Magnitude.
1 Lecture 1: February 20, 2007 Topic: 1. Discrete-Time Signals and Systems.
Control Systems EE 4314 Final Study Guideline May 1, 2014 Spring 2014 Woo Ho Lee
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Modern Control Systems (MCS) Dr. Imtiaz Hussain Assistant Professor URL :
自动控制原理 西南交通大学电气工程学院 朱英华 (Catherine) The Principle of Automatic Control.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Lecture 6: Stability of discrete-time systems 1. Suppose that we have the following transfer function of a closed-loop discrete-time system: The system.
Modern Control System EKT 308 Steady-State and Stability.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Discrete Controller Design
System Time Response Characteristics
Chapter 6 Root-Locus Analysis 6.1 Introduction - In some systems simple gain adjustment may move the closed- loop poles to desired locations. Then the.
Lecture 9 Feedback Control Systems President UniversityErwin SitompulFCS 9/1 Dr.-Ing. Erwin Sitompul President University
Dr. Tamer Samy Gaafar Automatic Control Theory CSE 322 Lec. 11 Root Locus.
Modern Control System EKT 308
Lecture 2: Linear Discrete Systems 1. Introduction The primary new component of discrete or digital systems is the notion of time discretization. No longer.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Find f(kT) if Exercise 1. Solution 1 1 Begin by dividing F(z) by z and performing a partial-fraction expansion. For z = 0.5 For z = 0.7 For z = 0.9.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
CONTROL SYSTEM UNIT-IV Datta Meghe Institute of engineering Technology and Research Sawangi (meghe),Wardha 1 DEPARTMENT OF ELECTRONICS & TELECOMMUNICATION.
Control Systems Lect.3 Steady State Error Basil Hamed.
Lecture 11/12 Analysis and design in the time domain using root locus North China Electric Power University Sun Hairong.
Chapter 2 The z-transform and Fourier Transforms The Z Transform The Inverse of Z Transform The Prosperity of Z Transform System Function System Function.
Lecture 9\10 Analysis in the time domain (III) North China Electric Power University Sun Hairong.
Intelligent Robot Lab Pusan National University Intelligent Robot Lab Chapter 6. TRANSIENT RESPONSE -- STABILITY Pusan National University Intelligent.
Stability Analysis for Control Systems Compiled By: Waqar Ahmed Assistant Professor Mechanical UET, Taxila Compiled By: Waqar Ahmed Assistant Professor.
Digital and Non-Linear Control
Digital and Non-Linear Control
Transient & Steady State Response Analysis
Effects of Zeros and Additional Poles
Stability of Closed-Loop Control Systems
IntroductionLecture 1: Basic Ideas & Terminology
Presentation transcript:

Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory

Principles of Automatic Control Exercise (34) 6 — 14, 15, 16 6 — 17 ( Optional )

Review §6.5.1 s-Domain to z-Domain Mapping §6.5 Stability and Steady-state Errors of Discrete-Time Systems §6.5.2 Necessary and Sufficient Condition for Stability of Linear Discrete-Time Systems — All poles of  (z) lie in the unit circle of z plane §6.5.3 The Stability Criterion of Discrete-Time Systems (1) Routh criterion in w domain (2) Jurry criterion in z domain (3) Root-locus method in z domain

Automatic Control Theory ( Lecture 34 ) Chapter 6 Analysis and Design of Linear Discrete-Time Systems § 6.1 Discrete-Time Control Systems § 6.2 Signal Sampling and Holding § 6.3 z-Transform § 6.4 Mathematical Models of Discrete-Time Systems § 6.5 Stability and Steady-state Errors of Discrete-Time Systems § 6.6 Dynamic Performance Analysis of Discrete-Time Systems § 6.7 Digital Control Design for Discrete-Time Systems

Automatic Control Theory ( Lecture 34 ) §6 Analysis and Design of Linear Discrete-Time Systems §6.5 Stability and Steady-state Errors of Discrete-Time Systems §6.6 Dynamic Performance Analysis of Discrete-Time Systems

§6.5.4 General method to obtain steady-state error ( 1 ) 1. General Method to obtain steady-state error Let Algorithm: (1) Determine the stability (2) Obtain the impulse transfer function from E(z) to C(z). (3) Obtain by the final value theorem v: System type

§6.5.4 General method to obtain steady-state error ( 2 ) Example 1 Consider the discrete system shown in the figure, K=2, T=1; Obtain e(∞) for r(t)=1(t), t, t 2 /2.

§6.5.4 General method to obtain steady-state error ( 3 ) Example 1 Consider the discrete system shown in the figure, K=2, T=1; Obtain e(∞) for r(t)=1(t), t, t 2 /2.

§6.5.4 Static Error Constant Method ( 1 ) 2. Static Error Constant Method shows how e(∞) changes with r(t) (For stable linear discrete systems subject to r(t) and sampled at the error signal) Let v: System type

§6.5.4 Static Error Constant Method ( 2 ) Static position error constant Static velocity error constant Static acceleration error constant

§6.5.4 Static Error Constant Method ( 3 )

§6.5.4 Static Error Constant Method ( 4 ) Solution. Example 2 Consider the stable discrete system shown in the figure. When r(t)=2t, obtain e(∞) with/without ZOH. no ZOH with ZOH — dependent of T — independent of T

§6.5.4 Static Error Constant Method ( 5 ) Example 3 Consider the system shown in the figure, T=0.25. When r(t)=2·1(t)+t, obtain the range of K for e(∞)<0.5. Solution. The stable range of K is

§6.6 Dynamic performance analysis of discrete systems (1) §6.6. Dynamic performance analysis of discrete systems Let 1General algorithm to obtain the dynamic performance (1)Obtain the impulse transfer function (2) Obtain (3) (4) Determine the specifications.

§6.6 Dynamic performance analysis of discrete systems (2) Example 4 Consider the system shown in the figure, T=K=1. Obtain the dynamic specifications. (σ %, t s ). Solution. Obtain the unit step response series h(k) by long division method.

§6.6 Dynamic performance analysis of discrete systems (3)

§6.6 Dynamic performance analysis of discrete systems (4) Solution. Example 4 Consider the system shown in the figure, T=K=1. Obtain the dynamic specifications. (σ%, t s ).

§6.6 Dynamic performance analysis of discrete systems (3)

§6.6 Dynamic performance analysis of discrete systems (5) 2 Relationship between dynamic response and closed-loop poles (1)Single closed-loop poles on the real axis

§6.6 Dynamic performance analysis of discrete systems (6)

§6.6 Dynamic performance analysis of discrete systems (7) (2) Closed-loop Complex conjugate poles

§6.6 Dynamic performance analysis of discrete systems (8)

§6.6 Dynamic performance analysis of discrete systems (9)

§6.6 Dynamic performance analysis of discrete systems (10) Solution (1) Example 5 Consider the system shown in the figure (T=1). (1) Sketch the root locus when (2) Determine the stable range of K (3) Determine how the dynamic performance changes when Breakaway point:

§6.6 Dynamic performance analysis of discrete systems (11) Solution (2) (3) Stable Unstable Example 5 Consider the system shown in the figure (T=1). (1) Sketch the root locus when (2) Determine the stable range of K (3) Determine how the dynamic performance changes when

Summary §6.5.4 Steady-state error of discrete systems §6.6 Analysis of discrete-time dynamic performance (1)General Method Stability (2) Static error constant Obtain → Obtain s , t s by definition (1) General method (2) Closed-loop poles Response

Principles of Automatic Control Exercise (34) 6 — 14, 15, 16 6 — 17 ( Optional )