Process control : designing processes and control systems for dynamic performance / Thomas E. Marlin.Material type: TextSeries: McGraw-Hill chemical engineering seriesPublication details: McGraw-Hill, 1994. ISBN: 0070404917DDC classification: 629.8
|Item type||Home library||Call number||Status||Date due||Barcode||Item holds|
|Two Week Loan||College Lane Learning Resources Centre Main Shelves||660.281 MAR (Browse shelf(Opens below))||Available||440337811X|
Enhanced descriptions from Syndetics:
Includes bibliographies and index.
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 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 of 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 Modelling and Analysis -- App. D: Methods of Moments -- 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: Model for Flash Process.
This book identifies the process as the central factor in plant automation and develops theory and practice to achieve good dynamic performance. Approaches are presented for measurement selection, process modifications, 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 student's ability to analyze increasingly complex systems, culminating in multiloop control design. The full complement of fundamental topics is reinforced by realistic process examples, including challenging end-of-chapter problems. Each technology is analyzed to provide guidelines for design and algorithm tuning; this approach demonstrates how fundamentals can lead to excellent practice and encourages the student to develop sound generalizations. The accompanying workbook and software, in the MATLAB environment, enable students to reproduce and extend the solved problems and design cases in the textbook. The simulations enable students to implement the digital implementations of most methods, for example, model identification, PID algorithm, windup protection, cascade, feedforward, and model predictive control.