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.
What makes us different?
• Instant Download
• Always Competitive Pricing
• 100% Privacy
• FREE Sample Available
• 24-7 LIVE Customer Support
