| Description |
xxxiii, 1017 pages : illustrations ; 25 cm |
| Summary |
This is a revision of a well received new book for what is a required course in Chemical Engineering. The author uniquely emphasizes practices in industry so that students learn what aspects of plant design & control are critical. This book identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process/modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics (modeling, single-loop control and tuning, enhancements, multiloop control, and design) builds the students' ability to analyze increasingly complex systems, culminating in multiloop control design. |
| Contents |
Pt. I. Introduction. 1. Introduction to Process Control. 2. Control Objectives and Benefits -- Pt. II. Process Dynamics. 3. Mathematical Modelling Principles. 4. Modelling and Analysis for Process Control. 5. Dynamic Behavior of Typical Process Systems. 6. Empirical Model Identification -- Pt. III. Feedback Control. 7. The Feedback Loop. 8. The PID Algorithm. 9. PID Controller Tuning for Dynamic Performance. 10. Stability Analysis and Controller Tuning. 11. Digital Implementation of Process Control. 12. Practical Application of Feedback Control. 13. Performance of Feedback Control Systems -- Pt. IV. Enhancements to Single-Loop PID Feedback Control. 14. Cascade Control. 15. Feedforward Control. 16. Adapting Single-Loop Control Systems for Nonlinear Processes. 17. Inferential Control. 18. Level and Inventory Control. 19. Single-Variable Model Predictive Control -- Pt. V. Multivariable Control. 20. Multiloop Control: Effects on Interaction. 21. Multiloop Control: Performance Analysis. 22. Variable-Structure and Constraint Control. 23. Centralized Multivariable Control -- Pt. VI. Process Control Design. 24. Process Control Design: Definition and Decisions. 25. Process Control Design: Managing the Design Procedure. 26. Continual Improvement -- App. A. Process Control Drawings -- App. B. Integrating Factor -- App. C. Chemical Reactor Modeling and Analysis -- App. D. Approximate Dynamic Models -- App. E. Determining Controller Constants to Satisfy Performance Specifications -- App. F. Discrete Models for Digital Control -- App. G. Guide to Selected Process Examples -- App. H. Partial Fractions and Frequency Response -- App. I. Process Examples of Parallel Systems -- App. J. Process Control Case Study: Two-Product Distillation -- App. K. Process Control Case Study: Fired Heater -- App. L. Analysis of Digital Control Systems |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references |
| Subject |
Chemical process control.
|
| LC no. |
99026739 |
| ISBN |
0070393621 (acid-free paper) |
|
