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Process Control: Modeling, Design and Simulation - Hardcover

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Synopsis

For junior or senior-level undergraduate Chemical Engineering courses in process dynamics and control, as well as a reference for professionals seeking the latest simulation tools and advanced control strategies.

This is the first book to offer a fully integrated introduction of the fundamental topics of process dynamics with MATLAB software tools that allow students to learn the material interactively through computer-based simulation exercises. Process Control: Modeling, Design and Simulation presents realistic problems and provides the software tools for students to simulate processes and solve practical, real-world problems. Ultimately, the book will teach students to analyze dynamic chemical processes and develop automatic control strategies to operate them safely and economically.

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About the Author

B. WAYNE BEQUETTE is Professor of Chemical Engineering at Rensselaer Polytechnic Institute. His teaching and research interests are in the areas of process systems and control engineering for biomedical systems, pharmaceuticals, chromatography, and complex chemical processes. He is Associate Editor of Automatica, a journal of the International Federation of Automatic Control, and General Chair for the 2003 American Control Conference. He is the author of Process Dynamics: Modeling, Analysis, and Simulation (Prentice Hall).

From the Back Cover

Master process control hands on, through practical examples and MATLAB® simulations

This is the first complete introduction to process control that fully integrates software tools―enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field's most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises―with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes:

  • Fundamentals of process control and instrumentation, including objectives, variables, and block diagrams
  • Methodologies for developing dynamic models of chemical processes
  • Dynamic behavior of linear systems: state space models, transfer function-based
  • models, and more
  • Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis
  • Frequency response analysis techniques for evaluating the robustness of control systems
  • Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhancements to improve disturbance rejection
  • Split-range, selective, and override strategies for switching among inputs or outputs
  • Control loop interactions and multivariable controllers
  • An introduction to model predictive control (MPC)

Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.

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  • PublisherPearson
  • Publication date2002
  • ISBN 10 0133536408
  • ISBN 13 9780133536409
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages800
  • Rating
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