Process Control Modeling, Design and Simulation

ISBN-10: 0133536408

ISBN-13: 9780133536409

Edition: 2003

Authors: B. Wayne Bequette

List price: $160.00
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Description:

For junior or senior-level undergraduate Chemical Engineering courses in process dynamics and control, as well as a reference for professionals seeking the latest simulation tools and advanced control strategies. This is the first book to offer a fully integrated introduction of the fundamental topics of process dynamics with MATLAB software tools that allow students to learn the material interactively through computer-based simulation exercises. Process Control: Modeling, Design and Simulation presents realistic problems and provides the software tools for students to simulate processes and solve practical, real-world problems. Ultimately, the book will teach students to analyze dynamic chemical processes and develop automatic control strategies to operate them safely and economically.
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Book details

List price: $160.00
Copyright year: 2003
Publisher: Prentice Hall PTR
Publication date: 12/26/2002
Binding: Hardcover
Pages: 800
Size: 7.00" wide x 9.25" long x 1.25" tall
Weight: 2.838
Language: English

Preface
Introduction
Introduction
Instrumentation
Process Models and Dynamic Behavior
Control Textbooks and Journals
A Look Ahead
Summary
Student Exercises
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
Solving Algebraic Equations
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
Pad Approximation for Dead Time
Converting State Space Models to Transfer Functions
Matlab and Simulink
Summary
References
Student Exercises
Empirical Models.Introduction
First-Order + Dead Time
Integrator + Dead Time
Discrete-Time Autoregressive Models
Parameter Estimation
Discrete Step and Impulse Response Models
Summary
References
Student Exercises
Files Used to Generate Example 4.4
Introduction to Feedback Control
Motivation
Development of Control Block Diagrams
Response to Setpoint Changes
PID Controller Algorithms
Routh Stability Criterion
Effect of Tuning Parameters
Response to Disturbances
Open-Loop Unstable Systems
Simulink Block Diagrams
Summary
References
Student Exercises
PID Controller Tuning.Introduction
Closed-Loop Oscillation-Based Tuning
Tuning Rules for First-Order + Dead Time Processes
Direct Synthesis
Summary
References
Student Exercises
Frequency-Response Analysis.Motivation
Bode and Nyquist Plots
Closed-Loop Stability Concepts
Bode and Nyquist Stability
Robustness
MATLAB Control Toolbox: Bode and Nyquist Functions
Summary
Reference
Student Exercises
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
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
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.Background
Antireset Windup
Autotuning Techniques
Nonlinear PID Control
Controller Parameter (Gain) Scheduling
Measurement/Actuator Selection
Implementing PID Enhancements in SIMULINK
Summary
References
Student Exercises
Ratio, Selective, and Split-Range Control.Motivation
Ratio Control
Selective and Override Control
Split-Range Control
SIMULINK Functions
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