Introduction to Process Control, 3rd Edition

Introduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today’s teaching of process control:

• Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions
• Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems
• 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 back-off 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
• Analyzes 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

Drawing on the authors’ combined 60 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 text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension.

Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher’s website. Solutions manual is available for qualifying professors from the publisher.

Preface

Part I : Introduction
Chapter 1 : Why Process Control?
Chapter 2 : Definitions and Terminology

Part II : Modeling for Control
Chapter 3 : Basic Concepts in Modeling
Chapter 4 : Development of Models from Fundamental Laws
Chapter 5 : Input-Output Models
Chapter 6 : Models from Process Data

Part III : Process Analysis
Chapter 7 : Stability
Chapter 8 : Dynamic  Performance
Chapter 9 : Frequency Response

Part IV : Feedback Control
Chapter 10 : Basic Elements of Feedback Control
Chapter 11 : Stability Analysis of Closed-Loop Processes
Chapter 12 : Feedback Control Design

Part V : Model-Based Control
Chapter 13 : Model-Based Control
Chapter 14 : Model Uncertainty and Robustness
Chapter 15 : Model Predictive Control

Part VI : Multivariable Control
Chapter 16 : Multivariable Systems
Chapter 17 : Multivariable Systems
Chapter 18 : Design of Multivariable Controllers

Part VII : Control in Modern Manufacturing
Chapter 19 : Practical Control of Nonlinear Processes
Chapter 20 : Process Optimization and Control
Chapter 21 : Industrial Control Technology
Chapter 22 : Role of Process Control in Modern Manufacturing
Chapter 23 : Data Processing and Reconciliation
Chapter 24 : Process Monitoring

Index