We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more

Process Dynamics, Modeling, and Control

Babatunde A. Ogunnaike and W. Harmon Ray

Publication Date - 17 November 1994

ISBN: 9780195091199

1282 pages
7 x 10 inches


This text offers a modern view of process control in the context of today's technology. It provides the standard material in a coherent presentation and uses a notation that is more consistent with the research literature in process control. Topics that are unique include a unified approach to model representations, process model formation and process identification, multivariable control, statistical quality control, and model-based control. This book is designed to be used as an introductory text for undergraduate courses in process dynamics and control. In addition to chemical engineering courses, the text would also be suitable for such courses taught in mechanical, nuclear, industrial, and metallurgical engineering departments.
The material is organized so that modern concepts are presented to the student but details of the most advanced material are left to later chapters. The text material has been developed, refined, and classroom tested over the last 10-15 years at the University of Wisconsin and more recently at the University of Delaware. As part of the course at Wisconsin, a laboratory has been developed to allow the students hands-on experience with measurement instruments, real time computers, and experimental process dynamics and control problems.

About the Author(s)

Babatunde Ogunnaike is Senior Research Associate at E.I. duPont de Nemours and Company and Adjunct Professor in the Chemical Engineering Department at the University of Delaware.
W. Harmon Ray is Steenbock Professor of Engineering in the Chemical Engineering Department at the University of Wisconsin.

Table of Contents

    PART I: Introduction
    1. Introductory Concepts of Process Control
    2. Introduction to Control System Implementation
    PART II: Process Dynamics
    3. Basic Elements of Dynamic Analysis
    4. The Process Model
    5. Dynamic Behavior of Linear Low Order-Systems
    6. Dynamic Behavior of Linear Higher Order-Systems
    7. Inverse-Response Systems
    8. Time-Delay Systems
    9. Frequency-Response Analysis
    10. Nonlinear Systems
    11. Stability
    PART III: Process Modeling and Identification
    12. Theoretical Process Modeling
    13. Process Identification: Empirical Process Modeling
    PART IV: Process Control
    Part IVA: Single-Loop Control
    14. Feedback Control Systems
    15. Conventional Feedback Controller Design
    16. Design of More Complex Control Structures
    17. Controller Design for Processes with Difficult Dynamics
    18. Controller Design for Nonlinear Systems
    19. Model-Based Control
    Part IVB: Multivariable Process Control
    20. Introduction to Multivariable Systems
    21. Interaction Analysis and Multiple Single Loop Design
    22. Design of Multivariable Controllers
    Part IVC: Computer Process Control
    23. Introduction to Sampled-Data Systems
    24. Tools of Discrete-Time Systems Analysis
    25. Dynamic Analysis of Discrete-Time Systems
    26. Design of Digital Controllers
    PART V: Special Control Topics
    27. Model Predictive Control
    28. Statistical Process Control
    29. Selected Topics in Advanced Process Control
    30. Process Control System Synthesis -- Some Case Studies
    PART VI: Appendices
    A. Control System Symbols used in Process and Instrumentation Diagrams
    B. Complex Variables, Differential Equations, and Difference Equations
    C. Laplace and z-Transformations
    D. Review of Matrix Algebra
    E. Computer-Aided Control System Design
    Author Index
    Subject Index