Book description
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.
Table of contents
- Copyright
- PRENTICE HALL INTERNATIONAL SERIES IN THE PHYSICAL AND CHEMICAL ENGINEERING SCIENCES
- About Prentice Hall Professional Technical Reference
- Preface
- Introduction
-
Fundamental Models
- Background
- Balance Equations
- Material Balances
- Constitutive Relationships
- Material and Energy Balances
- Form of Dynamic Models
- Linear Models and Deviation Variables
- Summary
-
Suggested Reading
- Student Exercises
- Appendix 2.1: Solving Algebraic Equations
- Appendix 2.2: Integrating Ordinary Differential Equations
-
Dynamic Behavior
- Background
- Linear State Space Models
- Introduction to Laplace Transforms
- Transfer Functions
- First-Order Behavior
- Integrating System
- Second-Order Behavior
- Lead-Lag Behavior
- Poles and Zeros
- Processes with Dead Time
- Padé Approximation for Dead Time
- Converting State Space Models to Transfer Functions
- MATLAB and SIMULINK
- Summary
- References
- Student Exercises
- Empirical Models
- Introduction to Feedback Control
- PID Controller Tuning
- Frequency-Response Analysis
-
Internal Model Control
- Introduction to Model-Based Control
- Practical Open-Loop Controller Design
- Generalization of the Open-Loop Control Design Procedure
- Model Uncertainty and Disturbances
- Development of the IMC Structure
- IMC Background
- The IMC Structure
- The IMC Design Procedure
- Effect of Model Uncertainty and Disturbances
- Improved Disturbance Rejection Design
- Manipulated Variable Saturation
- Summary
- References
- Student Exercises
- Appendix 8.1: Derivation of Closed-Loop Relationships for IMC
-
The IMC-Based PID Procedure
- Background
- The Equivalent Feedback Form to IMC
- IMC-Based Feedback Design for Delay-Free Processes
- IMC-Based Feedback Design for Processes with a Time Delay
- Summary of IMC-Based PID Controller Design for Stable Processes
- IMC-Based PID Controller Design for Unstable Processes
- Summary
- References
- Student Exercises
-
Cascade and Feed-Forward Control
- Background
- Introduction to Cascade Control
- Cascade-Control Analysis
- Cascade-Control Design
- Cascade IMC
- Feed-Forward Control
- Feed-Forward Controller Design
- Feed-Forward Control in the IMC Structure
- Summary of Feed-Forward Control
- Combined Feed-Forward and Cascade
- Summary
- References
- Student Exercises—Cascade Control
- Student Exercises—Feed-Forward Control
- Student Exercises—Feed-Forward and Cascade
- PID Enhancements
- Ratio, Selective, and Split-Range Control
-
Control-Loop Interaction
- Introduction
- Motivation
- The General Pairing Problem
- The Relative Gain Array
- Properties and Application of the RGA
- Return to the Motivating Example
- RGA and Sensitivity
- Using the RGA to Determine Variable Pairings
- MATLAB RGA Function File
- Summary
-
References
- Student Exercises
- Appendix 13.1: Derivation of the Relative Gain for an n-Input–n-Output System
- Appendix 13.2: m-File to Calculate the RGA
- Multivariable Control
- Plantwide Control
-
Model Predictive Control
- Motivation
- Optimization Problem
- Dynamic Matrix Control
- Constraints and Multivariable Systems
- Other MPC Methods
- Matlab
- Summary
-
References and Relevant Literature
- Student Exercises
- Appendix 16.1: Derivation of the Step Response Formulation
- Appendix 16.2: Derivation of the Least Squares Solution for Control Moves
- Appendix 16.3
- Summary
- Introduction to MATLAB
- Introduction to SIMULINK
- Ordinary Differential Equations
- MATLAB LTI Models
- Isothermal Chemical Reactor
- First-Order + Time-Delay Processes
- Biochemical Reactors
- CSTR
- Steam Drum Level
- Surge Vessel Level Control
- Batch Reactor
- Biomedical Systems
- Distillation Control
- Case Study Problems
- Flow Control
- Digital Control
- About the Author
Product information
- Title: Process Control: Modeling, Design, and Simulation
- Author(s):
- Release date: December 2002
- Publisher(s): Pearson
- ISBN: 0133536408
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