Advanced Control Foundation

Acknowledgments vii
About the Authors xvii
Foreword xxi

Chapter 1 INTRODUCTION 1

Chapter 2 MAXIMIZING RETURN ON CONTROL SYSTEM INVESTMENT 7
2.1 Economic Incentive, 9
2.2 Reducing Process Variation â" Achieving Control Objectives, 19
2.3 Advanced Control, 29
2.4 Balancing Complexity with Benefits, 32

Chapter 3 EVALUATING CONTROL SYSTEM PERFORMANCE 35
3.1 Evaluating Control Performance, 38
3.2 Improving Control Utilization, 42
3.3 Addressing Process Variability, 52
3.4 Application Example, 58
3.5 Workshop Exercises â" Introduction, 62
3.6 Evaluating Control System Performance Workshop, 64
3.7 Technical Basis, 65

Chapter 4 ON-DEMAND TUNING 77
4.1 Process Identification, 77
4.2 On-Demand Tuning Workshop, 89
4.3 Technical Basis, 90

Chapter 5 ADAPTIVE TUNING 113
5.1 Adaptive Control â" Examples, 114
5.2 Application Example, 119
5.3 Adaptive Tuning Workshop, 125
5.4 Technical Basis, 126

Chapter 6 FUZZY LOGIC CONTROL 145
6.1 Application Example, 150
6.2 Fuzzy Logic Control Workshop, 152
6.3 Technical Basis, 153

Chapter 7 NEURAL NETWORKS FOR PROPERTY ESTIMATION 171
7.1 Example â" Pulp and Paper Industry, 173
7.2 Property Estimator Application Example, 176
7.3 Neural Networks for Property Estimation Workshop, 182
7.4 Technical Basis, 183

Chapter 8 INTELLIGENT PID 195
8.1 Recovery from Process Saturation, 197
8.2 Control Using Wireless Transmitter, 199
8.3 Application Examples, 206
8.4 Intelligent PID Workshop, 215
8.5 Technical Basis, 217

Chapter 9 CONTINUOUS DATA ANALYTICS 223
9.1 Application Example, 237
9.2 Viewing Data Analytics On-line, 245
9.3 Continuous Data Analytics Workshop, 247
9.4 Technical Basis, 248

Chapter 10 BATCH DATA ANALYTICS 261
10.1 Batch Production Challenges, 262
10.2 Data Analytics Application Example â" Modeling and On-line Operation, 275
10.3 Batch Data Analytics Workshop, 285
10.4 Technical Basis, 286

Chapter 11 SIMPLE MPC 307
11.1 MPC as a Replacement for PID, 309
11.2 Commissioning MPC, 310
11.3 MPC Replacement for PID with Feedforward, 316
11.4 MPC Replacement for PID Override, 317
11.5 Using MPC to Address Process Interactions, 318
11.6 Application Examples, 320
11.7 MPC Application Development Procedure, 333
11.8 Simple MPC Workshop, 340
11.9 Technical Basis, 340

Chapter 12 MPC INTEGRATED WITH OPTIMIZATION 363
12.1 Application Example â" Multiple Effect Evaporator, 365
12.2 Application Example â" CTMP Refiner, 376
12.3 Application Example â" Heavy Oil Fractionator, 385
12.4 MPC Integrated with Optimization Workshop, 408
12.5 Technical Basis, 408

Chapter 13 ON-LINE OPTIMIZATION 437
13.1 Why Optimization â" A Look at Boiler Load Allocation, 438
13.2 Energy Optimization in a Pulp and Paper Mill, 446
13.3 On-line Optimization Workshop, 465
13.4 Technical Basis, 466

Chapter 14 PROCESS SIMULATION 471
14.1 Process Simulation Techniques, 471
14.2 Developing a Process Simulation from the P&ID, 473
14.3 Simulating Process Non-linearity, 480
14.4 Other Considerations, 483
14.5 Process Simulation Workshop, 486
14.6 Theory â" Simulation Based on Step Response, 488

Chapter 15 INTEGRATING ADVANCED CONTROL INTO A DCS 495
15.1 Integrating with Plant Systems, 501
15.2 Network and System Setup, 505
15.3 Application Example, 507

Bibliography, 509
Appendix A 511
Glossary of Terms 517
Index 527