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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010320962 | TS156.8 A33 2003 | Open Access Book | Book | Searching... |
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Summary
Summary
This book is a guide for both experienced engineers as well as newcomers to advanced control. It serves as a bridge between theoretical concepts and effective practical implementations. The major topics are: Setting a foundation, finding the opportunities, and estimating the benefits for advanced control; Using Auto Tuners; Applying Model Predictive Control and integrating optimization techniques; Getting the most out of Dynamic Estimators, Abnormal Situation Management, and Fuzzy Logic Control; Employing dynamic simulations of processes and control systems for design, prototyping and training; Setting up an online system for automated analysis and evaluation of control system and process performance. Each topic is summarized to capture important concepts, rules of thumb and best practices. This book includes a CD with practical design, simulation, and implementation examples. This interactive learning environment includes overviews by the authors and video demonstrations 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 included on the CD.Reading the book and observing the simulation exercises offers the shortest path for getting the most value out of applying advanced control. The book should be a good companion for every engineer practicing advanced control.
Table of Contents
Acknowledgment | p. xiii |
About the Authors | p. xv |
Foreword | p. xvii |
Chapter 1 Introduction | p. 1 |
Chapter 2 Setting the Foundation | p. 5 |
Practice | p. 5 |
Overview | p. 5 |
Opportunity Assessment | p. 12 |
Examples | p. 15 |
Application | p. 20 |
General Procedure | p. 20 |
Application Detail | p. 26 |
Rules of Thumb | p. 74 |
Theory | p. 76 |
Process Time Constants and Gains | p. 76 |
Process Time Delay | p. 79 |
Ultimate Gain and Period | p. 80 |
Peak and Integrated Error | p. 82 |
Feedforward Control | p. 84 |
Dead Time from Valve Dead Band | p. 84 |
Nomenclature | p. 85 |
References | p. 86 |
Chapter 3 APC Pathways | p. 89 |
Practice | p. 89 |
Overview | p. 89 |
Opportunity Assessment | p. 94 |
Examples | p. 103 |
Application | p. 106 |
General Procedure | p. 106 |
Application Detail | p. 108 |
Rules of Thumb | p. 115 |
References | p. 116 |
Chapter 4 Evaluating System Performance | p. 119 |
Practice | p. 119 |
Overview | p. 119 |
Opportunity Assessment | p. 121 |
Examples | p. 125 |
Application | p. 129 |
General Procedure | p. 129 |
Application Details | p. 131 |
Rules of Thumb | p. 143 |
Guided Tour | p. 144 |
Theory | p. 147 |
Using Statistics for Control Performance Evaluation | p. 150 |
Extending the Concept to the Multi-variable Environment | p. 153 |
Addressing Advanced Control | p. 154 |
Diagnostic Tools | p. 156 |
References | p. 160 |
Chapter 5 Abnormal Situation Management | p. 163 |
Practice | p. 163 |
Overview | p. 163 |
Opportunity Assessment | p. 165 |
Examples | p. 166 |
Application | p. 168 |
General Procedure | p. 168 |
Application Details | p. 169 |
Rules of Thumb | p. 171 |
Guided Tour | p. 173 |
Theory | p. 177 |
Introduction to Expert Systems | p. 177 |
Rules | p. 178 |
Inference Engine | p. 180 |
Facts | p. 181 |
References | p. 182 |
Chapter 6 Automated Tuning | p. 183 |
Practice | p. 183 |
Overview | p. 183 |
Opportunity Assessment | p. 185 |
Examples | p. 187 |
Application | p. 197 |
General Procedure | p. 197 |
Application Detail | p. 200 |
Rules of Thumb | p. 202 |
Guided Tour | p. 206 |
Theory | p. 208 |
Introduction to Auto Tuners | p. 208 |
Basics of Relay-Oscillation Tuning | p. 210 |
Model Based Tuning | p. 218 |
Robustness Based Tuning | p. 221 |
Adaptive Control | p. 225 |
References | p. 237 |
Chapter 7 Fuzzy Logic Control | p. 239 |
Practice | p. 239 |
Overview | p. 239 |
Opportunity Assessment | p. 240 |
Examples | p. 240 |
Application | p. 241 |
General Procedure | p. 241 |
Rules of Thumb | p. 242 |
Guided Tour | p. 242 |
Theory | p. 244 |
Introduction to Fuzzy Logic Control | p. 244 |
Building a Fuzzy Logic Controller | p. 247 |
Fuzzy Logic PID Controller | p. 251 |
Fuzzy Logic Control Nonlinear PI Relationship | p. 254 |
FPID and PID Relations | p. 257 |
Automation of Fuzzy Logic Controller Commissioning | p. 258 |
References | p. 259 |
Chapter 8 Properties Estimation | p. 261 |
Practice | p. 261 |
Overview | p. 261 |
Opportunity Assessment | p. 263 |
Example--Dynamic Linear Estimator | p. 265 |
Examples - Neural Networks | p. 269 |
Application | p. 274 |
General Procedure | p. 274 |
Application Detail | p. 279 |
Rules of Thumb | p. 289 |
Guided Tour | p. 289 |
Theory | p. 294 |
Dynamic Linear Estimator | p. 294 |
Neural Networks | p. 296 |
References | p. 305 |
Chapter 9 Model Predictive Control | p. 307 |
Practice | p. 307 |
Overview | p. 307 |
Opportunity Assessment | p. 310 |
Examples | p. 316 |
Application | p. 337 |
General Procedure | p. 337 |
Application Detail | p. 339 |
Rules of Thumb | p. 353 |
Guided Tour | p. 355 |
Theory | p. 362 |
The Basics of Process Modeling | p. 364 |
Identifying the Process Model | p. 367 |
Unconstrained Model Predictive Control | p. 369 |
Integrating Constraints Handling, Optimization and Model Predictive Control | p. 373 |
References | p. 381 |
Chapter 10 Virtual Plant | p. 383 |
Practice | p. 383 |
Overview | p. 383 |
Opportunity Assessment | p. 386 |
Examples | p. 387 |
Application | p. 389 |
General Procedure | p. 389 |
Online Adaptation | p. 393 |
Application Detail | p. 395 |
Rules of Thumb | p. 399 |
Guided Tour | p. 400 |
Theory | p. 403 |
References | p. 408 |
Appendix A Additional Opportunity Assessment Questions | p. 409 |
Appendix B Batch-to-Continuous Transition | p. 415 |
Appendix C Definitions | p. 419 |
Appendix D Top 20 Mistakes | p. 425 |
Index | p. 431 |