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Advanced Control Unleashed: Plant Performance Management for Optimum Benefit |
2003
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Author : Terrence L. Blevins, Gregory K. McMillan, Willy K. Wojsznis, and Michael W. Brown |
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Pages : 434 |
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About
Proven control methods for engineers working in industry, presented by four seasoned practitioners of control, with more than 100 years of industrial experience in the development and use of advanced control. Bridging the gap between theory and practice, this classic provides the basis for assessing the benefits of advanced control – covering auto-tuning, model predictive control, optimization, estimators, neural networks, fuzzy control, simulators, expert systems, diagnostics, and performance assessment.
This book includes a CD-ROM that helps bridge the theoretical concepts and practical implementations by providing real Delta V simulations and displays. This interactive CD-ROM offers practical design, simulation, and implementation examples that make key examples in the book come alive. Configuration and case files are supplied for a hands-on experience, and PowerPoint files suitable for lectures on each unit are also included. |
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Table of Contents : |
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ACKNOWLEDGEMENT xiii
ABOUT THE AUTHORS xv
FOREWORD xvii
Chapter 1 INTRODUCTION 1
Chapter 2 SETTING THE FOUNDATION 5
Practice, 5
Overview 5
Opportunity Assessment 12
Examples 15
Application, 20
General Procedure 20
Application Detail 26
Rules of Thumb 74
Theory, 76
Process Time Constants and Gains 76
Process Time Delay 79
Ultimate Gain and Period 80
Peak and Integrated Error 82
Feedforward Control 84
Dead Time from Valve Dead Band 84
Nomenclature, 85
References, 86
viii Advanced Control Unleashed
Chapter 3 APC PATHWAYS 89
Practice, 89
Overview 89
Opportunity Assessment 94
Examples 103
Application, 106
General Procedure 106
Application Detail 108
Rules of Thumb 115
References, 116
Chapter 4 EVALUATING SYSTEM PERFORMANCE 119
Practice, 119
Overview 119
Opportunity Assessment 121
Examples 125
Application, 129
General Procedure 129
Application Details 131
Rules of Thumb 143
Guided Tour 144
Theory, 147
Using Statistics for Control Performance Evaluation 150
Extending the Concept to the Multi-variable Environment 153
Addressing Advanced Control 154
Diagnostic Tools 156
References, 160
Chapter 5 ABNORMAL SITUATION MANAGEMENT 163
Practice, 163
Overview 163
Opportunity Assessment 165
Examples 166
Application, 168
General Procedure 168
Application Details 169
Rules of Thumb 171
Guided Tour 173
Theory, 177
Introduction to Expert Systems 177
Rules 178
Inference Engine 180
Facts 181
References, 182
ix
Chapter 6 AUTOMATED TUNING 183
Practice, 183
Overview 183
Opportunity Assessment 185
Examples 187
Application, 197
General Procedure 197
Application Detail 200
Rules of Thumb 202
Guided Tour 206
Theory, 208
Introduction to Auto Tuners 208
Basics of Relay-Oscillation Tuning 210
Model Based Tuning 218
Robustness Based Tuning 221
Adaptive Control 225
References, 237
Chapter 7 FUZZY LOGIC CONTROL 239
Practice, 239
Overview 239
Opportunity Assessment 240
Examples 240
Application, 241
General Procedure 241
Rules of Thumb 242
Guided Tour 242
Theory, 244
Introduction to Fuzzy Logic Control 244
Building a Fuzzy Logic Controller 247
Fuzzy Logic PID Controller 251
Fuzzy Logic Control Nonlinear PI Relationship 254
FPID and PID Relations 257
Automation of Fuzzy Logic Controller Commissioning 258
References, 259
Chapter 8 PROPERTIES ESTIMATION 261
Practice, 261
Overview 261
Opportunity Assessment 263
Example — Dynamic Linear Estimator 265
Examples – Neural Networks 269
Application, 274
General Procedure 274
Application Detail 279
x Advanced Control Unleashed
Rules of Thumb 289
Guided Tour 289
Theory, 294
Dynamic Linear Estimator 294
Neural Networks 296
References, 305
Chapter 9 MODEL PREDICTIVE CONTROL 307
Practice, 307
Overview 307
Opportunity Assessment 310
Examples 316
Application, 337
General Procedure 337
Application Detail 339
Rules of Thumb 353
Guided Tour 355
Theory, 362
The Basics of Process Modeling 364
Identifying the Process Model 367
Unconstrained Model Predictive Control 369
Integrating Constraints Handling, Optimization and Model Predictive Control
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References, 381
Chapter 10 VIRTUAL PLANT 383
Practice, 383
Overview 383
Opportunity Assessment 386
Examples 387
Application, 389
General Procedure 389
Online Adaptation 393
Application Detail 395
Rules of Thumb 399
Guided Tour 400
Theory, 403
References, 408
Appendix A ADDITIONAL OPPORTUNITY ASSESSMENT QUESTIONS 409
Appendix B BATCH-TO-CONTINUOUS TRANSITION 415
Appendix C DEFINITIONS 419
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Appendix D TOP 20 MISTAKES 425
INDEX 431 |
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Published By : ISA Books |
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