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 flowsheetsMethodologies for developing dynamic models of chemical processes, including compartmental modelsDynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and moreEmpirical and discrete-time models, including relationships among types of discrete modelsFeedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysisFrequency response analysis techniques for evaluating the robustness of control systemsImproving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhanced disturbance rejectionSplit-range, selective, and override strategies for switching among inputs or outputsControl loop interactions and multivariable controllersAn 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.

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Detalles bibliogr�ficos

T�tulo: Process Control
Editor: Pearson Education (US), US
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 0134033752
ISBN 13: 9780134033754
Encuadernaci�n: Paperback
Edici�n: 2� Edici�n
Estado: New

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Sinopsis

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.

Acerca del autor

B. Wayne Bequette is a Professor of Chemical and Biological Engineering and Technology Manager for the Smart Manufacturing Innovation Center (SMIC) at Rensselaer Polytechnic Institute, where his research efforts are focused on the modeling and control of chemical process, biomedical, biopharma, and food manufacturing systems. He serves as the Board Secretary for the American Automatic Control Council (AACC) and as a Trustee of the Computer Aids for Chemical Engineering (CACHE) Corporation. Dr. Bequette is a founding member of the editorial board of the Journal of Diabetes Science and Technology and serves on the editorial board of Industrial & Engineering Chemistry Research. He is a Fellow of IEEE, AIChE, and the American Institute of Medical and Biological Engineers (AIMBE), and was inducted into the Arkansas Academy of Chemical Engineers. He is the author of Process Control: Modeling, Design, and Simulation, Second Edition, and Process Dynamics: Modeling, Analysis, and Simulation (both from Pearson), and has published 17 book chapters and more than 125 refereed journal articles.

While completing a BS in chemical engineering at the University of Arkansas, Dr. Bequette worked at Arkansas Eastman (handling utility and waste treatment problems) and Cosden Oil and Chemical. After his undergraduate studies, he was a process engineer at American Petrofina, where he had the chance to serve as a process operator during two work stoppages. This sparked his interest in process automation and control, enticing him to the University of Texas at Austin to earn a PhD with a focus on multivariable control-system analysis and design. He spent a year as a visiting lecturer at the University of California at Davis before becoming a professor at Rensselaer in 1988. While at Rensselaer, he has had the good fortune to serve as the advisor for 23 PhD students, in addition to teaching chemical process dynamics and control to at least 1500 undergraduate students. His outside interests include bicycling and pole-vaulting.

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