Introduction to process control
著者
書誌事項
Introduction to process control
（Chemical industries, 107）
Taylor & Francis/CRC, 2006
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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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