Process Control: Modeling, Design and Simulation, 1st edition
Published by Prentice Hall PTR (December 26, 2002) © 2003
- B Wayne Bequette Rensselaer Polytechnic Institute, NY
- A print text (hardcover or paperback)Â
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- Also available for purchase as an ebook from all major ebook resellers, including InformIT.com
For junior or senior-level undergraduate Chemical Engineering courses in process dynamics and control, as well as a reference for professionals seeking the latest simulation tools and advanced control strategies.
This is the first book to offer a fully integrated introduction of the fundamental topics of process dynamics with MATLAB software tools that allow students to learn the material interactively through computer-based simulation exercises. Process Control: Modeling, Design and Simulation presents realistic problems and provides the software tools for students to simulate processes and solve practical, real-world problems. Ultimately, the book will teach students to analyze dynamic chemical processes and develop automatic control strategies to operate them safely and economically.
- Interactive MATLAB/SIMULINK exercises—Emphasize model-based control techniques.
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Reinforce and enhance the student's ability to learn new model-based techniques.
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- Effect of process scale (design) on control.
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Provides students with an appreciation of the dynamic nature of chemical processes and helps them develop strategies to operate these procedures.
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- Biomedical problems.
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Motivates students with interesting real-world problems that touch on the latest topics.
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- Modules containing practical problems—Tied back to each chapter.
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Enables students to integrate the techniques and reinforce the concepts presented throughout the book.
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- Additional material is available on the Internet.
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Helps students focus on the fundamental concepts, rather than sorting through an encyclopedia of every possible behavior or control problem.
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Preface.
1. Introduction.
2. Fundamental Models.
3. Dynamic Behavior.
4. Empirical Models.
5. Introduction to Feedback Control.
6. PID Controller Tuning.
7. Frequency-Response Analysis.
8. Internal Model Control.
9. The IMC-Based PID Procedure.
10. Cascade and Feed-Forward Control.
11. PID Enhancements.
12. Ratio, Selective, and Split-Range Control.
13. Control-Loop Interaction.
14. Multivariable Control.
15. Plantwide Control.
16. Model Predictive Control.
17. Summary.
Module 1. Introduction to MATLAB.
Module 2. Introduction to SIMULINK.
Module 3. Ordinary Differential Equations.
Module 4. MATLAB LTI Models.
Module 5. Isothermal Chemical Reactor.
Module 6. First-Order + Time-Delay Processes.
Module 7. Biochemical Reactors.
Module 8. CSTR.
Module 9. Steam Drum Level.
Module 10. Surge Vessel Level Control.
Module 11. Batch Reactor.
Module 12. Biomedical Systems.
Module 13. Distillation Control.
Module 14. Case Study Problems.
Module 15. Flow Control.
Module 16. Digital Control.
References.
Additional Exercises.
Appendix M16.1: SIMULINK .mdl File for Example M16.2.
Appendix M16.2: SIMULINK .m and .mdl Files for Example M16.3.
Index.
About the Author.
B. WAYNE BEQUETTE is Professor of Chemical Engineering at Rensselaer Polytechnic Institute. His teaching and research interests are in the areas of process systems and control engineering for biomedical systems, pharmaceuticals, chromatography, and complex chemical processes. He is Associate Editor of Automatica, a journal of the International Federation of Automatic Control, and General Chair for the 2003 American Control Conference. He is the author of Process Dynamics: Modeling, Analysis, and Simulation (Prentice Hall).
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