Process Control: Modeling, Design, and Simulation

B. Bequette

ISBN 10: 0134033752 / ISBN 13: 9780134033754

Editore: Pearson, Pearson, 2023

Riguardo questo articolo

nach der Bestellung gedruckt Neuware - Printed after ordering - Master Process Control Hands On, through Updated Practical Examples and MATLAB® Simulations Process Control: Modeling, Design, and Simulation, Second Edition, is a complete introduction to process control and has been fully updated, integrating current software tools to enable professionals and students to master critical techniques hands on through simulations based on modern versions of MATLAB. This revised edition teaches the field's most important techniques, behaviors, and control problems with even more practical examples and exercises. Wide-ranging enhancements include safety considerations, an expanded discussion of digital control, additional process examples, and updates throughout for newer versions of MATLAB and SIMULINK. Fundamentals of process control and instrumentation, including objectives, variables, block diagrams, and process flowsheets Methodologies for developing dynamic models of chemical processes, including compartmental models Dynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and more Empirical and discrete-time models, including relationships among types of discrete models 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 enhanced 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), with a new discrete state-space model derivation exercise Bequette walks step by step through developing control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. This edition also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve many key control problems, including new modules on process monitoring and safety, as well as a detailed new study of artificial pancreas systems for Type 1 diabetes. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Codice articolo 9780134033754

Dati bibliografici

• Titolo: Process Control: Modeling, Design, and Simulation
• Editore: Pearson, Pearson
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0134033752
• ISBN 13: 9780134033754
• Rilegatura: Taschenbuch
• Edizione: seconda edizione
• Condizione: Neu
• Dimensioni: 232 L x 178 A x 41 P (millimetri) 232 millimetri di larghezza per 178 millimetri di altezza per 41 millimetri di profondità
• Peso: 1294 grammi

Descrizione articolo

Riassunto

Master Process Control Hands On, through Updated Practical Examples and MATLAB^® Simulations

Process Control: Modeling, Design, and Simulation, Second Edition, is a complete introduction to process control and has been fully updated, integrating current software tools to enable professionals and students to master critical techniques hands on through simulations based on modern versions of MATLAB. This revised edition teaches the field's most important techniques, behaviors, and control problems with even more practical examples and exercises. Wide-ranging enhancements include safety considerations, an expanded discussion of digital control, additional process examples, and updates throughout for newer versions of MATLAB and SIMULINK.

• Fundamentals of process control and instrumentation, including objectives, variables, block diagrams, and process flowsheets
• Methodologies for developing dynamic models of chemical processes, including compartmental models
• Dynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and more
• Empirical and discrete-time models, including relationships among types of discrete models
• 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 enhanced 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), with a new discrete state-space model derivation exercise

Bequette walks step by step through developing control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. This edition also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve many key control problems, including new modules on process monitoring and safety, as well as a detailed new study of artificial pancreas systems for Type 1 diabetes.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Informazioni sull?autore

B. Wayne Bequette is a professor of chemical engineering at Rensselaer Polytechnic Institute. His teaching and research interests are in process systems and control engineering, applications of which apply in biomedical systems, pharmaceuticals, chromatography, and fairly classical chemical processes, particularly those with interesting nonlinear behavior. Dr. Bequette is an associate editor of Automatica, was the General Chair for the 2003 American Control Conference, and has served as the AIChE Director on the Board of the American Automatic Control Council. He is also the author of Process Dynamics: Modeling, Analysis, and Simulation (Pearson, 1998) and has published over 90 technical papers. He has a BS in chemical engineering from the University of Arkansas and a PhD from University of Texas at Austin, with a focus on multivariable control system analysis and design. While at Rensselaer, he has served as advisor for ten PhD and four MS students, in addition to teaching chemical process dynamics and control to at least 900 undergraduate students.