Process Control: Modeling, Design, and Simulation, Second Edition
By Wayne Bequette
Table of Contents:
Preface
About the Author
Chapter 1. Introduction
1.1 Introduction
1.2 Instrumentation
1.3 Process Models and Dynamic Behavior
1.4 Redundancy and Operability
1.5 Industrial IoT and Smart Manufacturing
1.6 Control Textbooks
1.7 A Look Ahead
1.8 Summary
References
Chapter 2. Fundamental Models
2.1 Background
2.2 Balance Equations
2.3 Material Balances
2.4 Constitutive Relationships
2.5 Material and Energy Balances
2.6 Form of Dynamic Models
2.7 Linear Models and Deviation Variables
2.8 Summary
Chapter 3. Dynamic Behavior
3.1 Background
3.2 Linear State-Space Models
3.4 Transfer Functions
3.5 First-Order Behavior
3.6 Integrating Behavior Purely Integrating Systems
3.7 Second-Order Behavior
3.8 Summary
References
Chapter 4. Dynamic Behavior: Complex Systems
4.1 Introduction
4.2 Poles and Zeros
4.3 Lead-Lag Behavior
4.4 Processes with Deadtime
4.5 Padé Approximation for Deadtime
4.6 Converting State-Space Models to Transfer Functions
4.7 Converting Transfer Functions to State-Space Models
4.8 Matlab and Simulink
4.9 Summary
Chapter 5. Empirical and Discrete-Time Models
5.1 Introduction
5.2 First-Order + Deadtime
5.3 Integrator + Deadtime
5.4 Other Continuous Models
5.5 Discrete-Time Autoregressive Models
5.6 Parameter Estimation
5.7 Discrete Step and Impulse Response Models
5.8 Converting Continuous Models to Discrete
5.9 Digital Filtering
5.10 Summary
References
Chapter 6. Introduction to Feedback Control
Chapter 7. Model-Based Control
7.1 Introduction
7.2 Direct Synthesis
7.3 Internal Model Control
7.4 IMC-Based PID
7.5 IMC-Based PID Design for Processes with a Time Delay
7.6 IMC-Based PID Controller Design for Unstable Processes
7.7 Summary
References
Chapter 8. PID Controller Tuning
8.1 Introduction
8.2 Closed-Loop Oscillation-Based Tuning
8.3 Tuning Rules for First-Order + Deadtime Processes
8.4 Digital Control
8.5 Stability of Digital Control Systems
8.6 Performance of Digital Control Systems
8.7 Summary
References
Chapter 9. Frequency-Response Analysis
9.1 Motivation
9.2 Bode and Nyquist Plots
9.3 Effect of Process Parameters on Bode and Nyquist Plots
9.4 Closed-Loop Stability
9.5 Bode and Nyquist Stability
9.6 Robustness
9.7 Matlab Control Toolbox: Bode and Nyquist Functions
9.8 Summary
Chapter 10. Cascade and Feedforward Control
10.1 Background
10.2 Introduction to Cascade Control
10.3 Cascade-Control Analysis
10.4 Cascade-Control Design
10.5 Feedforward Control
10.6 Feedforward Controller Design
10.7 Summary of Feedforward Control
10.8 Combined Feedforward and Cascade
10.9 Summary
Chapter 11. PID Enhancements
Chapter 12. Ratio, Selective, and Split-Range Control
12.1 Motivation
12.2 Ratio Control
12.3 Selective and Override Control
12.4 Split-Range Control
12.5 Simulink Functions
12.6 Summary
Chapter 13. Control-Loop Interaction
13.1 Introduction
13.2 Motivation
13.3 The General Pairing Problem
13.4 The Relative Gain Array
13.5 Properties and Application of the RGA Sum of Rows and
Columns
13.6 Return to the Motivating Example
13.7 RGA and Sensitivity
13.8 Using the RGA to Determine Variable Pairings
13.9 Matlab RGA Function File
13.10 Summary
References
Appendix 13.1: Derivation of the Relative Gain for an n-Input–
n-Output System
Chapter 14. Multivariable Control
Chapter 15. Plantwide Control
Chapter 16. Model Predictive Control
Chapter 17. Summary
Module 1. Introduction to MATLAB
Module 2. Introduction to SIMULINK
Module 3. Ordinary Differential Equations
Module 4. MATLAB LTI Models
Module 5. Isothermal Chemical Reactor
Module 6. First-Order + Time-Delay Processes
Module 7. Biochemical Reactors
Module 8. CSTR
Module 9. Steam Drum Level
Module 10. Surge Vessel Level Control
Module 11. Batch Reactor
Module 12. Biomedical Systems
Module 13. Distillation Control
Module 14. Case Study Problems
Module 15. Plug Flow Reactor
Module 16. Digital Control