Techniques for Adaptive Control (eBook)

Cover 1
Techniques for Adaptive Control 4
Copyright Page 5
Contents 6
Contributors 9
Preface 10
Introduction 12
Chapter 1. Adaptive Tuning Methods of the Foxboro I/A System 34
Controller Structure 37
Minimum Variance Control 42
Control by Minimizing Sensitivity to Process Uncertainty 44
Algebraic Controller Design for Load Rejection and Shaped Transient Response 46
Algebraic Tuning of a Controller with Deadtime 50
Robust Adaptation of Feedback Controller Gain Scheduling 55
Feedforward Control 58
Adaptation of Feedforward Load Compensators 59
Conclusion 63
Chapter 2. The Exploitation of Adaptive Modeling in the Model Predictive Control Environment of Connoisseur 66
Model Structures 69
Issues for Identification 73
Adaptive Modeling 80
Other Methods 84
Simulated Case Study on a Fluid Catalytic Cracking Unit 87
Conclusion 107
Chapter 3. Adaptive Predictive Regulatory Control with BrainWave 110
The Laguerre Modeling Method 112
Building the Adaptive Predictive Controller Based on a Laguerre State Space Model 116
A Laguerre-Based Controller for Integrating Systems 121
Practical Issues for Implementing Adaptive Predictive Controllers 125
Simulation Examples 131
Industrial Application Examples 136
Conclusion and Lessons Learned 153
Chapter 4. Model-Free Adaptive Control with CyboCon 156
Model-Free Adaptive Control with CyboCon 156
Concept of MFA Control 156
Single-Loop MFA Control System 160
Multivariable MFA Control System 169
Anti-Delay MFA Control System 181
MFA Cascade Control System 184
Feedforward MFA Control 188
Nonlinear MFA Control 191
Robust MFA Control 194
MFA Control Methodology and Applications 197
MFA Control Methodology 197
The Inside of MFA 200
Case Studies 202
Chapter 5. Expert-Based Adaptive Control: ControlSoft's INTUNE Adaptive and Diagnostic Software 214
On-Demand Tuning and Adaptive Tuning 215
History and Milestone Literature 216
Adaptive Control Structure and Underlying Principles 218
Identification-Based Adaptive Control 220
Expert-Based Adaptive Control: ControlSoft's INTUNE 228
Concluding Observations 241
Chapter 6. KnowledgeScape, an Object-Oriented Real-Time Adaptive Modeling and Optimization Expert Control System for the Process Industries 244
Intelligent Software Objects and Their Use in KnowledgeScape 246
Artificial Intelligence and Process Control 250
Neural Networks 263
Genetic Algorithms 267
Documenting the Performance of Intelligent Systems 269
Putting It All Together: Combining Intelligent Technologies for Process Control 272
Results: Using Intelligent Control in the Mineral-Processing Industry 275
Conclusion 277
Appendix: Table of Artificial Intelligence Reference Texts 279
Author Index 282
Subject Index 284