Techniques of Model Based Control

Techniques of Model Based Control

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Description

A comprehensive introduction to the concepts, techniques, and applications of model-based process control that presents the process control problem as a subset of overall plant operations problem rather than as a separate discipline. In addition, the approaches presented in the book are motivated by their use in solving practical problems, thus emphasizing methods rather than theory. The examples used to illustrate these methods and the MATLAB software that is included are further intended to assist the reader in the design and tuning of actual control systems.show more

Product details

  • Mixed media product | 704 pages
  • 186 x 236 x 32mm | 1,261g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • 013028078X
  • 9780130280787

About Coleman Brosilow

COLEMAN BROSILOW, a recognized leader in the process-control field, received the 1989 AICHE Computing and Systems Technology Division Award for 25 years of influential, pioneering work in simulation of complex chemical processes and model-based control. He is a founder of ControlSoft, Inc. and served as Chairman of the Board from its founding in 1985 to 2001. BABU JOSEPH is currently Edward D. Dicke Professor of Chemical Engineering at Washington University in St. Louis, where he teaches and does research in process control and related fields. He will be assuming the position of Chair, Chemical Engineering Department at the University of South Florida, in Tampa, in January of 2002. He is the author of Real Time Personal Computing (Prentice Hall) and co-editor of Wavelet Applications in Chemical Engineering (Kluwer-Academic). He has taught short courses for AIChE and is currently serving as a Director of the Computing and Systems Technology Division, on a three-year term. He can be found on the Web at joseph.wustl.edushow more

Back cover copy

The state-of-the-art publication in model-based process controlby leading experts in the field. In "Techniques of Model-Based Control," two leading experts bring together powerful advances in model-based control for chemical-process engineering. Coleman Brosilow and Babu Joseph focus on practical approaches designed to solve real-world problems, and they offer extensive examples and exercises. Coverage includes: The nature of the process-control problem and how model-based solutions help to solve it Continuous time modeling: time domain, Laplace domain, and FOPDT modelsFeedforward, cascade, override, and single-variable inferential control approachesOne and two degree of freedom Internal Model ControlModel State Feedback and PI/PID Implementations of IMCTuning and synthesis of 1DF and 2DF IMC for process uncertaintyEstimation and inferential control using multiple secondary measurementsBasic and advanced techniques of model identification and model-predictive control The appendices review the basics of Laplace transforms, feedback control, frequency response analysis, probability, random variables, and linear least-square regression. From start to finish, "Techniques of Model-Based Control" offers the real-world insight that professionals need to identify and implement the best control strategies for virtually any process. "show more

Table of contents

Preface. Acknowledgements. 1. Introduction. 2. Continuous-Time Models. 3. One-Degree of Freedom Internal Model Control. 4. Two-Degree of Freedom Internal Model Control. 5. Model State Feedback Implementations of IMC. 6. PI and PID Parameters From IMC Designs. 7. Tuning and Synthesis of 1DF IMC for Uncertain Processes. 8 Tuning and Synthesis of 2DF IMC for Uncertain Processes. 9. Feedforward Control. 10. Cascade Control. 11. Output Constraint Control (Override Control). 12. Single Variable Inferential Control (IC). 13. Inferential Estimation Using Multiple Measurements. 14. Discrete-Time Models. 15. Identification: Basic Concepts. 16. Identification: Advanced Concepts. 17. Basic Model-Predictive Control. 18. Advanced Model-Predictive Control. 19. Inferential Model-Predictive Control. Appendix A. Review of Basic Concepts. Appendix B. Review of Frequency Response Analysis. Appendix C: Review of Linear Least-Squares Regression. Appendix D: Review of Random Variables and Random Processes. Appendix E: MATLAB and Control Toolbox Tutorial. Appendix F: SIMULINK Tutorial. Appendix G: Tutorial on IMCTUNE Software. Appendix H: Identification Software. Appendix I: SIMULINK Models for Projects. Index.show more

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