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**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

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.

**INTRODUCTIONWhy 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 CONTROLBasic 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 ANALYSISStability**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 CONTROLBasic 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 CONTROLModel-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 CONTROLMultivariable 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: LinearizationAppendix B: Laplace TransformationAppendix C: Matrix OperationsAppendix D: Basic Statistics**

**Index**

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

**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.

ISBN: **9781439854860**

Condizione: Nuovo

Collana: Chemical Industries

Dimensioni: 9.25 x 6.125 in Ø 2.45 lb

Formato: Copertina rigida

Illustration Notes:396 b/w images, 53 tables and 850-900 equations

Pagine Arabe: 643

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