Process Control - Designing Processes And Control Systems For Dynamic Performance, 2nd Edition - Thomas-E Marlin

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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

• Mathematical modelling principles
• Modelling and analysis for process control
• Dynamic behavior of typical process systems
• Empirical model identification

• 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

• Cascade control
• Feedforward control
• Adapting single-loop control systems for nonlinear processes
• Inferential control
• Level and inventory control
• Single-variable model predictive control

• Multiloop control : effects of interaction
• Multiloop control : performance analysis
• Variable-structure and constraint control
• Centralized multivariable control

• Process control design : definition and decisions
• Process control design : managing the design procedure
• Continual improvement