Process Dynamics, Modeling, and Control 1st Edition by Babatunde A. Ogunnaike, ISBN-13: 978-0195091199

Description

Process Dynamics, Modeling, and Control 1st Edition by Babatunde A. Ogunnaike, ISBN-13: 978-0195091199

[PDF eBook eTextbook]

• Publisher: ‎ Oxford University Press; 1st edition (November 17, 1994)
• Language: ‎ English
• 1296 pages
• ISBN-10: ‎ 0195091191
• ISBN-13: ‎ 978-0195091199

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.

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

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.

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