Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today’s teaching of process control:
Drawing on the authors’ combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension.
Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. Access the site through the authors’ websites at www.pseonline.net and www.chms.ucdavis.edu/research/web/pse/ahmet/. Solutions manual is available for qualifying professors from the publisher.
Part I: Introduction. 1. Why Process Control? 2. Definitions and Terminology. Part II: Modeling for Control. 3. Basic Concepts in Modeling. 4. Development of Models from Fundamental Laws. 5. Input-Output Models. 6. Models from Process Data. Part III: Process Analysis. 7. Stability. 8. Dynamic Performance. 9. Frequency Response. Part IV: Feedback Control. 10. Basic Elements of Feedback Control. 11. Stability Analysis of Closed-Loop Processes. 12. Feedback Control Design. Part V: Model-Based Control. 13. Model-Based Control. 14. Model Uncertainty and Robustness. 15. Model Predictive Control. Part VI: Multivariable Control. 16. Multivariable Systems. 17. Multivariable Systems. 18. Design of Multivariable Controllers. Part VII: Control in Modern Manufacturing. 19. Practical Control of Nonlinear Processes. 20. Process Optimization and Control. 21. Industrial Control Technology. 22. Role of Process Control in Modern Manufacturing. 23. Data Processing and Reconciliation. 24. Process Monitoring.