Process Dynamics and Control

Autorentext

Dale E. Seborg is Professor Emeritus of Chemical Engineering at the University of California, Santa Barbara. He has published over 220 articles and co-edited three books on process control and related topics, and is the recipient of teaching and research awards from national and international organizations.

Thomas F. Edgar is Abell Chair Emeritus in chemical engineering at the University of Texas at Austin. He has published over 500 papers and several books in process control, optimization, and mathematical modeling and is the former President of AIChE and the American Automatic Control Council.

Duncan A. Mellichamp is a Professor Emeritus of Chemical Engineering at the University of California, Santa Barbara. He has made extensive contributions to chemical engineering education and research in process dynamics and control.

Francis J. Doyle III is Professor of Engineering and Neuroscience and the 14th Provost of Brown University. He has published over 400 papers and is an inventor on over 50 patents. He is an elected member of the National Academy of Engineering, the National Academy of Medicine, and the American Academy of Arts & Sciences.

Thomas A. Badgwell is Professor of Practice at the University of Texas at Austin. His career spans control consulting at SETPOINT, academic research at Rice University, industrial product development at AspenTech, refinery control at ExxonMobil, and co-founding Collaborative Systems Integration. He received the AACC 2024 Ogunnaike Control Practice Award.

Michael Baldea is Kenneth A. Kobe Professor in the McKetta Department of Chemical Engineering and a core faculty member of the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. He has co-authored three books and over 200 peer-reviewed publications and serves as Editor in Chief of Industrial & Engineering Chemistry Research.

Klappentext

An updated and revised resource balancing process control theory and practice Now in its Fifth Edition, Process Dynamics and Control continues to deliver the balance of theory and practice that has defined this award-winning textbook. Written by a team of distinguished chemical engineering faculty and practitioners, this edition features significantly revised material on process modeling, control system design, and model predictive control. About 20% of the exercises are new or revised, and lengthy theoretical derivations have been minimized. This book covers dynamic behavior, physical and empirical modeling, computer simulation, measurement and control technology, and advanced control and optimization strategies. An industrial control problem introduced in Chapter 1 illustrates key methods throughout. The modular chapter structure supports flexible course design, and exercises using MATLAB® and Simulink® reinforce theoretical concepts with hands-on simulation experience. Readers will also find:

• Coverage of bioprocess control and real-time optimization topics often omitted from competing texts in the field
• Updated references at the end of each chapter reflecting recent developments in process control theory and applications
• Mathematical treatment oriented towards juniors and seniors who have completed a course in ordinary differential equations
• Instructor resources including a solutions manual, lecture slides, book figures, and supplemental computer exercise materials
• Student companion website with supplemental materials and additional appendices supporting independent study and coursework This title serves upper-division chemical engineering students in process modeling and control courses, graduate students in advanced process control, and practicing professionals. Its balanced treatment of theory, simulation, and industrial application prepares readers to design and operate modern processing plants safely and effectively.

Inhalt

About the Author

Preface

PART ONE INTRODUCTION TO PROCESS CONTROL

Chapter 1. Introduction to Process Control

Chapter 2. Theoretical Models of Chemical Processes

PART TWO DYNAMIC BEHAVIOR OF PROCESSES

Chapter 3. Laplace Transforms

Chapter 4. Transfer Function Models

Chapter 5. Dynamic Behavior of First-Order and Second-Order Processes

Chapter 6. Dynamic Response Characteristics of More Complicated Processes

Chapter 7. Development of Empirical Models from Data

PART THREE FEEDBACK AND FEEDFORWARD CONTROL

Chapter 8. PID Control

Chapter 9. Control System Instrumentation

Chapter 10. Process Safety and Process Control

Chapter 11. Dynamic Behavior and Stability of Closed-Loop Control Systems

Chapter 12. Control System Design: PID Controllers

Chapter 13. Frequency Response Analysis and Control System Design

Chapter 14. Feedforward and Ratio Control

PART FOUR ADVANCED PROCESS CONTROL

Chapter 15. Advanced Control Strategies Based on PID Controllers

Chapter 16. Digital Sampling, Filtering, and Control

Chapter 17. Multivariable Systems and Multiloop Control

Chapter 18. Real-Time Optimization

Chapter 19. Model Predictive Control

Chapter 20. Process Monitoring

Chapter 21. Batch Process Control

PART FIVE APPLICATIONS TO BIOLOGICAL SYSTEMS

Chapter 22. Biosystems Control Design

Chapter 23. Dynamics and Control of Biological Systems