Polyteknisk Boghandel

Design Control Systems Using Modern Technologies and Techniques Process control has increased in importance in the process industries, driven by global competition, rapidly changing economic conditions, more stringent environmental and safety regulations, and the need for more flexible yet more complex processes to manufacture high value-added products. This long-awaited second edition of Dale Seborg, Thomas Edgar, and Duncan Mellichamp's Process Dynamic and Control reflects recent changes and advances in process control theory and technology. The authors have added new topics, and enhanced the presentation with a large number of new exercises and examples, many of which utilize MATLAB and Simulink. New and expanded topics includes:
Mathematical modeling of chemical processes
Developing dynamic models from process data
Control system design
Process safety and process control
Enhanced single-loop control
Digital control
Multiloop and multivariable control
Real-time optimization
Model predictive control
Process monitoring
Batch process control
Plantwide control
Applications to semiconductor manufacturing and bioprocessing
Control hardware and software

PART ONE: INTRODUCTORY CONCEPTS.
1. Introduction to Process Control.
2. Theoretical Models of Chemical Processes.

PART TWO: DYNAMIC BEHAVIOR OF PROCESSES.
3. Laplace Transforms.
4. Transfer Function and State-Space Models.
5. Dynamic Behavior of First-Order and Second-Order Processes.
6. Dynamic Response Characteristics of More Complicated Processes.
7. Development of Empirical Models from Process Data.

PART THREE: FEEDBACK AND FEEDFORWARD CONTROL.
8. Feedback Controllers.
9. Control System Instrumentation.
10. Overview of Control System Design.
11. Dynamic Behavior and Stability of Closed-Loop Control Systems.
12. PID Controller Design, Tuning, and Troubleshooting.
13. Frequency Response Analysis.
14. Control System Design Based on Frequency Response Analysis.
15. Feedforward and Radio Control.

PART FOUR: ADVANCED PROCESS CONTROL.
16. Enhanced Single-Loop Control Strategies.
17. Digital Sampling, Filtering, and Control.
18. Multiloop and Multivariable Control.
19. Real-Time Optimization.
20. Model Predictive Control.
21. Process Monitoring.
22. Batch Process Control.
23. Introduction to Plantwide Control.
24. Plantwide Control System Design
Appendix A: Digital Process Control Systems: Hardware and Software.
Appendix B: Review of Thermodynamics Concepts for Conservation Equations.
Appendix C: Use of MATLAB in Process Control.
Appendix D: Contour Mapping and the Principle of the Argument.
Appendix E: Dynamic Models and Parameters Used for Plantwide Control Chapters.