This second edition offers comprehensive coverage of process control with an excellent balance of theoretical concepts and engineering practice. As summarized...
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Résumé
This second edition offers comprehensive coverage of process control with an excellent balance of theoretical concepts and engineering practice. As summarized in the features below, the content has been enhanced, and an extensive array of " Matlab " and web-based tools are available to complement the book. The book and computer tools provide a total package for process control education ! In addition, the presentation has been dramatically enhanced with a larger page size and improved page layout. Students will appreciate the new format that retains the boxed highlights of key conclusions and adds expanded solved examples, each with its own refresher data and process mini-figure. Further aids for the students include an enhanced index and new key of symbols and acronyms. Extensive coverage of control design methods going beyond algorithm selection to cover structural issues like cascade, feedforward, multiloop pairing, and centralized model predictive control. Strong ties between the process behavior and control performance are emphasized. New concepts like partial control and dominant variables complement the coverage of topics like measurement selection, final element location, controllability, operating window, and so forth. Industrial case studies are further expanded through extensive exercises covering control of distillation and fired heater processes. Expanded coverage if practical algorithm design and digital control, including z-transforms. Web-based interactive learning modules assist student self study. Students interact with learning problems that have hints, solutions, and suggestions for further study. The modules follow the organization of the textbook. " Matlab " computer tools for performing many time and frequency do main calculations. A new version of the popular software laboratory supports menu driven (data input and provides graphical results). Systems covered include single-loop, cascade, feedforward, multiloop, and model predictive control. A users'manual with extra exercises is provided witf-1 the software. Web-based readings are provided to expand coverage of selected topics, for example, instrumentation.
Sommaire
INTRODUCTION
Introduction to process control
Control objectives and benefits
PROCESS DYNAMICS
Mathematical modelling principles
Modelling and analysis for process control
Dynamic behavior of typical process systems
Empirical model identification
FEEDBACK CONTROL
The feedback loop
The pid algorithm
Pid controller tuning for dynamic performance
Stability analysis and controller tuning a digital implementation of process control
Practical application of feedback control
Performance of feedback control systems
ENHANCEMENTS TO SINGLE-LOOP PID FEEDBACK CONTROL
Cascade control
Feedforward control
Adapting single-loop control systems for nonlinear processes
Inferential control
Level and inventory control
Single-variable model predictive control
MULTIVARIABLE CONTROL
Multiloop control : effects of interaction
Multiloop control : performance analysis
Variable-structure and constraint control
Centralized multivariable control
PROCESS CONTROL DESIGN
Process control design : definition and decisions
Process control design : managing the design procedure