Process Identification and Pid Control

by Sung, Su Whan; Lee, Jietae; Lee, In-Beum

• ISBN13: 9780470824108
• ISBN10: 0470824107
• Edition: 1st
• Format: Hardcover
• Copyright: 2009-04-27
• Publisher: Wiley-IEEE Press

Summary

Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process identification, autotuning as well as design and implement feedback controllers, especially, PID controllers. The first two chapters introduce basic concepts of process control and dynamics, analysis tools (Bode plot, Nyquist plot) on dynamic characteristics, PID controllers and tuning, and advanced control strategies which have been widely used in industry. Simple simulation techniques required for practical controller designs and research on process identification and autotuning are also included. Chapter 3 provides useful process identification methods used in industry. It includes various identification algorithms to obtain frequency models or continuous-time/discrete-time transfer function models from measured process input and output data sets. Chapter 4 covers various relay feedback methods to activate the process effectively for process identification and controller autotuning. Chapter 5 discusses about the limitations of PID controllers and effective techniques to overcome these limitations.Combines the basics with recent research, helping novice to understand advanced topics Brings several industrially important topics together: Dynamics Control identification Control tuning methods Written by a team of recognized experts in the area Includes all source codes and real-time simulated processes for self-practice Contains problems at the end of every chapter PowerPoint files with lecture notes available for instructor use

Author Biography

Su Whan Sung is an Assistant Professor of Chemical Engineering at Kyungpook National University, Korea. His main research interests are PID controllers, autotuning, and system identification. He has spent over 15 years researching these topics, and has published 50 related papers in SCI journals. His previous work experience includes time as a Senior Researcher with LG Chem and research professorships at Korea's top engineering universities: KAIST and POSTECH. He holds an M.S. and PhD in Chemical Engineering from POSTECH.

Table of Contents

Preface	p. xi
Basics of Process Dynamics	p. 1
Mathematical Representations of Linear Processes	p. 3
Introduction to Process Control and Identification	p. 3
Properties of Linear Processes	p. 9
Laplace Transform	p. 16
Transfer Function and State-Space Systems	p. 32
Problems	p. 38
Simulations	p. 45
Simulating Processes Composed of Differential Equations	p. 45
Simulating Processes Including Time Delay	p. 50
Simulating Closed-Loop Control Systems	p. 57
Useful Numerical Analysis Methods	p. 59
Problems	p. 74
Dynamic Behavior of Linear Processes	p. 79
Low-Order Plus Time-Delay Processes	p. 79
Process Reaction Curve Method	p. 84
Poles and Zeroes	p. 86
Block Diagram	p. 92
Frequency Responses	p. 94
Problems	p. 103
Process Control	p. 109
Proportional-Integral-Derivative Control	p. 111
Structure of Proportional-Integral-Derivative Controllers and Implementation in Computers/Microprocessors	p. 111
Roles of Three Parts of Proportional-Integral-Derivative Controllers	p. 122
Integral Windup	p. 129
Commercial Proportional-Integral-Derivative Controllers	p. 135
Problems	p. 147
Proportional-Integral-Derivative Controller Tuning	p. 151
Trial-and-Error Tuning	p. 151
Simple Process Identification Methods	p. 154
Ziegler-Nichols Tuning Rule	p. 157
Internal Model Control Tuning Rule	p. 159
Integral of the Time-Weighted Absolute Value of the Error Tunning Rule for a First-Order Plus Time-Delay Model (ITAE-1)	p. 161
Integral of the Time-Weighted Absolute Value of the Error Tunning Rule for a Second-Order Plus Time-Delay Model (ITAE-2)	p. 166
Optimal Gain Margin Tuning Rule for an Unstable Second-Order Plus Time-Delay Model (OGM-unstable)	p. 169
Model Reduction Method for Proportional-Integral-Derivative Controller Tuning	p. 170
Consideration of Modeling Errors	p. 196
Concluding Remarks	p. 196
Problems	p. 197
Dynamic Behavior of Closed-Loop Control Systems	p. 201
Closed-Loop Transfer Function and Characteristic Equation	p. 201
Bode Stability Criterion	p. 203
Nyquist Stability Criterion	p. 207
Gain Margin and Phase Margin	p. 210
Problems	p. 212
Enhanced Control Strategies	p. 215
Cascade Control	p. 215
Time-Delay Compensators	p. 217
Gain Scheduling	p. 225
Proportional-Integral-Derivative Control using Internal Feedback Loop	p. 228
Problems	p. 231
Process Identification	p. 233
Process Identification Methods for Frequency Response Models	p. 235
Fourier Series	p. 235
Frequency Response Analysis and Autotuning	p. 240
Describing Function Analysis	p. 241
Fourier Analysis	p. 247
Modified Fourier Transform	p. 250
Frequency Response Analysis with Integrals	p. 261
Problems	p. 271
Process Identification Methods for Continuous-Time Differential Equation Models	p. 275
Identification Methods Using Integral Transforms	p. 275
Prediction Error Identification Method	p. 291
Problems	p. 315
Process Identification Methods for Discrete-Time Difference Equation Models	p. 317
Prediction Model: Autoregressive Exogenous Input Model and Output Error Model	p. 317
Prediction Error Identification Method for the Autoregressive Exogenous Input Model	p. 319
Prediction Error Identification Method for the Output Error Model	p. 325
Concluding Remarks	p. 335
Problems	p. 336
Model Conversion from Discrete-Time to Continuous-Time Linear Models	p. 337
Transfer Function of Discrete-Time Processes	p. 337
Frequency Responses of Discrete-Time Processes and Model Conversion	p. 338
Problems	p. 342
Process Activation	p. 343
Relay Feedback Methods	p. 345
Conventional Relay Feedback Methods	p. 345
Relay Feedback Method to Reject Static Disturbances	p. 352
Relay Feedback Method under Nonlinearity and Static Disturbances	p. 357
Relay Feedback Method for a Large Range of Operation	p. 365
Problems	p. 370
Modifications of Relay Feedback Methods	p. 373
Process Activation Method Using Pulse Signals	p. 373
Process Activation Method Using Sine Signals	p. 387
Problems	p. 397
Appendix Use of Virtual Control System	p. 399
Setup of the Virtual Control System	p. 399
Examples	p. 400
Index	p. 409
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