Introduction to process control

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Bibliographic Information

Introduction to process control

José A. Romagnoli, Ahmet Palazoğlu

(Chemical industries, 107)

Taylor & Francis/CRC, 2006

Available at  / 2 libraries

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Includes bibliographical references and index

Description and Table of Contents

Description

Improvements in software, instrumentation, and feedback control as well as deepening linkages between fundamental aspects of process technology have vastly changed the practice of industrial process control. Newcomers to the field must have a strong understanding of the new demands and capabilities of modern process control operations. Reflecting these changes, Introduction to Process Control infuses traditional topics with industry-based practices that provide more integrated process operation, control, and information systems. The authors adopt a thoughtfully conceived approach that follows a "Continuing Problem" throughout the text, adding new concepts and strategies to the example, which culminates in a complete control design strategy. This fully realized system is implemented in MATLAB (R), with software downloads available from the CRC Web site. This approach not only provides seamless continuity, but also addresses the plantwide control problem and engenders hands-on, step-by-step understanding of how the concepts apply to real processes. The book introduces data processing and reconciliation along with process monitoring as integral components of overall control system architecture. Along with an introduction to modern architectures of industrial computer control systems, Introduction to Process Control offers unique and unparalleled coverage of the expanded role of process control in modern industry, from modeling the process to implementing a plant-wide system.

Table of Contents

INTRODUCTION Why Process Control? Definitions and Terminology MODELING FOR CONTROL Basic Concepts in Modeling Development of Models from Fundamental Laws Input-Output Models: The Transfer Function Models from Process Data PROCESS ANALYSIS Stability Frequency Response FEEDBACK CONTROL Basic Elements of Feedback Control Stability Analysis of Closed-Loop Processes Feedback Control Design MULTIVARIABLE CONTROL Multivariable Systems: Special Cases Multivariable Systems: General Concepts Design of Multivariable Controllers MODEL-BASED CONTROL Model-Based Control Model Uncertainty and Robustness Model Predictive Control (MPC) Practical Control of Nonlinear Processes CONTROL IN MODERN MANUFACTURING Plantwide Process Control Industrial Control Technology Role of Process Control in Modern Manufacturing Data Processing and Reconciliation Process Monitoring APPENDICES Appendix A: Linearization Appendix B: Laplace Transformation Appendix C: Matrix Operation Appendix D: Basic Statistics Each section also contains Additional Reading and Exercises

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