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Introduction to Process Control, Second Edition

By Jose A. Romagnoli, Ahmet Palazoglu

CRC Press – 2012 – 643 pages

Series: Chemical Industries

Purchasing Options:

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    978-1-43-985486-0
    February 13th 2012

Description

Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition addresses issues in today’s teaching of process control.

Teaching & Learning Principles

  • Presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner
  • Uses the same problem in each chapter, culminating in a complete control design strategy
  • Includes 50 percent more exercises

Content

  • Defines the traditional and expanded roles of process control in modern manufacturing
  • Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic backoff as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change
  • Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations
  • Discusses the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems
  • Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture

Web Resource

The book’s website offers a user-friendly software environment for interactively studying the examples in the text. The site contains the MATLAB® toolboxes for process control education as well as the main simulation examples from the book. Access the site through the authors’ websites at www.pseonline.net and www.chms.ucdavis.edu/research/web/pse/ahmet/

Drawing on the authors’ combined 50 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The authors help readers see how traditional process control has evolved into an integrated operational environment used to run modern manufacturing facilities.

Reviews

This book contains the essential material for a first course on process control at an elementary level and I highly recommend it to instructors who [teach this] course at this level.

—Mehmet C. Camurdan, Bogaziçi University, Turkey

Contents

INTRODUCTION

Why Process Control?

Historical Background

Role of Control in Process Industries

Objectives of Control

Summary

Continuing Problem

References

Definitions and Terminology

Concepts and Definitions

Control Design Problem

Control System Design

Control Design Project

Summary

Continuing Problem

References

MODELING FOR CONTROL

Basic Concepts in Modeling

Why Is Process Modeling Necessary?

Classification of Models

Types of Models

Degrees of Freedom

Models and Control

Summary

References

Development of Models from Fundamental Laws

Principles of Modeling

Models Based on Fundamental Laws

Modeling of Processes Involving Chemical Reactions

Modeling of Complex Systems

Distributed Parameter Systems

Numerical Solution of Model Equations

Summary

Continuing Problem

References

Input–Output Models: The Transfer Function

Linear (Linearized) Model

Concept of Transfer Function

Transfer Functions of Single-Input Single-Output Processes

Properties of Transfer Functions

Nonrational Transfer Functions

Summary

Continuing Problem

Models from Process Data

Development of Empirical Models

Model Structures

Process Reaction Curve Method

Regression in Modeling

Summary

Continuing Problem

References

PROCESS ANALYSIS

Stability

Stability of Linear Systems

Input–Output Stability

Routh’s Criterion

Root-Locus Method

Direct Substitution Method

Summary

References

Dynamic Performance

Input Types

First-Order Processes

Second-Order Processes

Multicapacity Processes

Effect of Zeros

Effect of Time Delays

Summary

Continuing Problem

Frequency Response

What Is Frequency Response?

Complex Numbers in Polar Coordinates

Construction of Frequency Response

Evaluation of Frequency Response

Frequency Response of Common Systems

Bode Diagrams

Nyquist Diagrams

Systems in Series

Summary

Continuing Problem

FEEDBACK CONTROL

Basic Elements of Feedback Control

Feedback Control Problem

Control Law

Closed-Loop Transfer Functions

Analysis of Individual Terms in PID Controllers

Practical Issues in PID Design

Summary

Continuing Problem

Reference

Stability Analysis of Closed-Loop Processes

Closed-Loop Stability

Routh’s Criterion

Root-Locus Method

Modeling Errors

Frequency Response Methods

Summary

Continuing Problem

Feedback Control Design

Design Objectives

Controller Tuning Techniques

Comparing the Methods

Summary

Continuing Problem

References

MODEL-BASED CONTROL

Model-Based Control

Feedforward Control

Delay Compensation (Smith Predictor)

Internal Model Control

Summary

Continuing Problem

References

Model Uncertainty and Robustness

IMC Structure with Model Uncertainty

Description of Model Uncertainty

IMC Design under Model Uncertainty

Summary

References

Model Predictive Control

General Principles

Dynamic Matrix Control

Process Constraints

State-Space Formulation of MPC

Summary

Continuing Problem

References

MULTIVARIABLE CONTROL

Multivariable Systems: Special Cases

Cascade Control

Ratio Control

Split-Range Control

Override Control

Summary

Continuing Problem

References

Multivariable Systems

Characteristics of Multivariable Processes

Modeling of Multivariable Processes

Transfer Functions of Multivariable Processes

Multivariable Feedback Control Structure

Summary

Continuing Problem

References

Design of Multivariable Controllers

Multiple-Input–Multiple-Output Feedback Analysis

RGA Interaction Measure

Multiloop Controller Design

Design of Noninteracting Control Loops: Decouplers

Summary

Continuing Problem

References

CONTROL IN MODERN MANUFACTURING

Practical Control of Nonlinear Processes

Operating Regime Modeling Approach

Gain-Scheduling Controller

Multimodel Controller Design

Summary

References

Process Optimization and Control

Process Optimization

Optimizing Control of Disturbances

Dynamic Optimization and Transition Planning

Summary

References

Industrial Control Technology

Evolution of Industrial Control Technology

Generic Industrial Control Systems Architecture

Summary

Continuing Problem

References

Role of Process Control in Modern Manufacturing

Expanded Role of Control in Modern Manufacturing

Model-Centric Technologies

Integrated Control Systems

Summary

References

Data Processing and Reconciliation

Dealing with Missing Points

Outliers

Characterizing Process Data

Modeling Process Data

Data Reconciliation

Issues in Data Reconciliation

Process Monitoring

Process Monitoring

Statistical Process Control

Principal Component Analysis

Multivariate Performance Monitoring

Fault Diagnosis and Classification

Controller Performance Monitoring

Summary

References

Appendix A: Linearization

Appendix B: Laplace Transformation

Appendix C: Matrix Operations

Appendix D: Basic Statistics

Index

Additional Reading and Exercises appear at the end of each section.

Author Bio

Jose A. Romagnoli holds the Cain Chair in Process Systems Engineering in the Department of Chemical Engineering and is the director of the Laboratory for Process Systems Engineering at Louisiana State University. He earned a PhD in chemical engineering from the University of Minnesota. Dr. Romagnoli has authored more than 300 international publications and was awarded the Centenary Medal of Australia for his contributions to chemical engineering. His research covers all aspects of process systems engineering, including data processing and reconciliation, modeling of complex systems, advanced model-based control, intelligent process monitoring and supervision, and plant-wide optimization.

Ahmet Palazoglu is a professor of chemical engineering and materials science at the University of California, Davis. He earned a PhD in chemical engineering from Rensselaer Polytechnic Institute. Dr. Palazoglu has authored more than 150 publications and has taught short courses to academic and industrial audiences on process monitoring applications. His research interests include process control, nonlinear dynamics, process monitoring, and statistical modeling.

Name: Introduction to Process Control, Second Edition (Hardback)CRC Press 
Description: By Jose A. Romagnoli, Ahmet Palazoglu. Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and...
Categories: Separation Processing, Industrial Chemistry