We specialize in hard to find items
(1)
Process Control: Modeling, Design and Simulation
Share Tweet
*Price and Stocks may change without prior notice
*Packaging of actual item may differ from photo shown
- Electrical items MAY be 110 volts.
- 7 Day Return Policy
- All products are genuine and original
About Process Control: Modeling, Design And Simulation
Product Description Process Control: Modeling, Design, and Simulation 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. B. Wayne Bequette 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.KEY TOPICS:Bequette introduces the key fundamentals of process control and instrumentation, with objectives, variables, and diagrams. He presents today's leading methodologies for dynamically modeling chemical processes, and introduces dynamic behavior of linear systems, including state space and transfer-based models. Coverage includes: feedback control; frequency response analysis; techniques for improving control loop performance; split-range, selective and override strategies for switching amongst inputs or outputs; control loop interactions and multivariable controllers; and more. Bequette presents basic step response model-based MPC and introduces new enhancements designed to improve disturbance rejection. He walks step-by-step through the development of control instrumentation diagrams for an entire chemical process, outlines common control strategies for individual unit operations, and discusses strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems.MARKET:For all chemical engineers working with process control. 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. 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 Associ
