Process Control: Modeling, Design, and Simulation

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Prentice Hall Professional, 2003 - Technology & Engineering - 769 pages
6 Reviews
Master process control hands on, through practical examples and MATLABreg; 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: bull; 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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pages in range of 200 or greater or less

Contents

Introduction
1
Student Exercises
24
Fundamental Models
31
Suggested Reading
68
Solving Algebraic Equations
76
References
120
Empirical Models
127
Files Used to Generate Example 4 4
152
Introduction to MATLAB
539
Additional Exercises
557
FeedbackControl Simulations
563
Developing Alternative Controller Icons
570
MATLAB odeOptions
577
Summary
584
Forming DiscreteTime Models
593
Converting Discrete Models to Continuous
599

References
185
PID Controller Tuning
195
References
210
Internal Model Control
245
References
279
The IMCBased PID Procedure
285
References
306
Cascade and FeedForward Control
313
References
333
Student ExercisesFeedForward Control
340
References
367
ControlLoop Interaction
381
References
409
Derivation of the Relative Gain for an nInputnOutput System
415
References
448
References
482
References and Relevant Literature
510
Summary
521
Student Exercises
533
Internal Model Control Chapter 8
613
IMCBased PID Control
628
Stable SteadyState Operating Point
634
CSTR
641
Detailed Model
651
References
657
Feedback Controller Design
663
FeedForward Controller Design
666
Reference
676
Jacket Inlet Temperature Manipulated
685
Biomedical Systems
691
Blood Pressure Control in PostOperative Patients
698
Singular Value Analysis
712
Fluidized Catalytic Cracking Unit
725
Flow Control
733
Digital Control
749
SIMULINK mdl File for Example M16 2
762
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About the author (2003)

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).

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