Techniques of Model Based Control

Coleman Brosilow, Badu Joseph

680 pages, parution le 24/04/2002

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Résumé

The state-of-the-art publication in model-based process control—by 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 models
Feedforward, cascade, override, and single-variable inferential control approaches
One and two degree of freedom Internal Model Control
Model State Feedback and PI/PID Implementations of IMC
Tuning and synthesis of 1DF and 2DF IMC for process uncertainty
Estimation and inferential control using multiple secondary measurements
Basic 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.

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 Systems.
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.
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 MPC.

Appendices

A. Review of Basic Concepts.
B. Frequency Response Analysis.
C. Review of Linear Least-Squares Regression.
D. Random Variables and Random Processes.
E. MATLAB and Control Toolbox Tutorial.
F. SIMULINK Tutorial.
G. Tutorial on IMCTUNE Software.
H. Identification Software.
I. SIMULINK Models for Case Studies.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Prentice Hall
Auteur(s)	Coleman Brosilow, Badu Joseph
Parution	24/04/2002
Nb. de pages	680
Format	18,5 x 24
Couverture	Relié
Poids	1177g
Intérieur	Noir et Blanc
EAN13	9780130280787