9780195091199

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 approachto 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 chemicalengineering 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 atthe 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.

TERM	PRICE	DUE
SEMESTER	$158.39	Aug 02
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SHORT TERM	$142.55	Jun 21

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.

Introduction
Introductory Concepts of Process Control
Introduction to Control System Implementation
Process Dynamics
Basic Elements of Dynamic Analysis
The Process Model
Dynamic Behavior of Linear Low Order-Systems
Dynamic Behavior of Linear Higher Order-Systems
Inverse-Response Systems
Time-Delay Systems
Frequency-Response Analysis
Nonlinear Systems
Stability
Process Modeling and Identification
Theoretical Process Modeling
Process Identification: Empirical Process Modeling
Process Control
Single-Loop Control
Feedback Control Systems
Conventional Feedback Controller Design
Design of More Complex Control Structures
Controller Design for Processes with Difficult Dynamics
Controller Design for Nonlinear Systems
Model-Based Control
Multivariable Process Control
Introduction to Multivariable Systems
Interaction Analysis and Multiple Single Loop Design
Design of Multivariable Controllers
Computer Process Control
Introduction to Sampled-Data Systems
Tools of Discrete-Time Systems Analysis
Dynamic Analysis of Discrete-Time Systems
Design of Digital Controllers
Special Control Topics
Model Predictive Control
Statistical Process Control
Selected Topics in Advanced Process Control
Process Control System Synthesis -- Some Case Studies
Appendices
Control System Symbols used in Process and Instrumentation Diagrams
Complex Variables, Differential Equations, and Difference Equations
Laplace and z-Transformations
Review of Matrix Algebra
Computer-Aided Control System Design
Author Index
Subject Index
Table of Contents provided by Publisher. All Rights Reserved.

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Process Dynamics, Modeling, and Control

Process Dynamics, Modeling, and Control

0195091191

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