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Chemical and Bio-Process Control, 3rd Edition
- By James B. Riggs, M. Nazmul Karim
- Published Dec 29, 2007 by Pearson.
Book
- Sorry, this book is no longer in print.
Description
- Copyright 2008
- Edition: 3rd
- Book
- ISBN-10: 0-13-713798-2
- ISBN-13: 978-0-13-713798-5
Key features:
- Industrially relevant approach to chemical and bio-process control
- Fully revised edition with substantial enhancements to the theoretical coverage of the subject
- Increased number and variety of examples
- Extensively revised homework problems with degree-of-diffi culty rating added
- Expanded and enhanced chapter on model predictive control
- Self-assessment questions and problems at the end of most sections with answers listed in the appendix
- Bio-process control coverage:
- Background and history of bio-processing and bio-process control added to the introductory chapter
- Discussion and analysis of the primary bio-sensors used in bio-tech industries added to the chapter on control loop hardware
- Signifi cant proportion of examples and homework problems in the text deal with bio-processes
- Section on troubleshooting bio-process control systems included
- Bio-related process models added to the modeling chapter
- Supplemental material:
- Visual basic simulator of process models developed in text
- Solutions manual
- Set of PowerPoint lecture slides
- Collection of process control exams
All supplemental material can be found at www.che.ttu.edu/pcoc/software
Sample Content
Table of Contents
PART I: INTRODUCTION
Chapter1: Introduction 3
1.1 Chemical and Bio-Process Control; 1.2 Everyday Examples of Process Control; 1.3 Control Diagrams and P&IDs; 1.4 Industrial Process Control Examples; 1.5 Block Diagram of a General Feedback Control System; 1.6 Types of Controllers; 1.7 Responsibilities of a Chemical Process Control Engineer; 1.8 Operator Acceptance; 1.9 Process Control and Process Optimization; 1.10 Summary
Chapter: 2 Control Loop Hardware 35
2.1 Introduction; 2.2 Control Systems; 2.3 Actuator Systems (Final Control Elements); 2.4 Sensor Systems; 2.5 Summary
PART II: PROCESS DYNAMICS
Chapter 3: Dynamic Modeling 87
3.1 Introduction; 3.2 Uses of Dynamic Models; 3.3 Classification of Phenomenological Models; 3.4 Dynamic Balance Equations; 3.5 Modeling Examples; 3.6 Sensor Noise; 3.7 Numerical Integration of ODEs; 3.8 Summary
Chapter 4: Laplace Transforms 133
4.1 Introduction; 4.2 Laplace Transforms; 4.3 Laplace Transform Solutions of Linear Differential Equations; 4.4 Individual Real Poles; 4.5 Repeated Real Poles; 4.6 Complex Poles; 4.7 Summary
Chapter 5: Transfer Functions 157
5.1 Introduction; 5.2 General Characteristics of Transfer Functions; 5.3 Poles of a Transfer Function; 5.4 Stability Analysis Using the Routh Array; 5.5 Zeros of a Transfer Function; 5.6 Block Diagrams using Transfer Functions; 5.7 Linearization of Nonlinear Differential Equations; 5.8 State Space Models; 5.9 Transfer Functions from State Space Models; 5.10 Summary
Chapter 6: Dynamic Behavior of Ideal Systems 201
6.1 Introduction; 6.2 Idealized Process Inputs; 6.3 First-Order Processes; 6.4 Second-Order Processes; 6.5 Integrating Processes; 6.6 High-Order Processes; 6.7 Deadtime; 6.8 First Order Plus Deadtime (FOPDT) Model; 6.9 Inverse-Acting Processes; 6.10 Lead-Lag Element; 6.11 Recycle Processes; 6.12 Summary
PART III: PID CONTROL
Chapter 7: PID Control 235
7.1 Introduction; 7.2 Closed-Loop Transfer Functions; 7.3 Analysis of P, I, and D Action; 7.4 Position Forms of the PID Algorithm; 7.5 Velocity Forms of the PID Algorithm; 7.6 Interactive Form of the PID Controller; 7.7 Direct- and Reverse-Acting Controllers; 7.8 Filtering of Sensor Measurements; 7.9 Controller Design Issues; 7.10 Commonly Encountered Control Loops; 7.11 Summary
Chapter 8: PID Controller Tuning 279
8.1 Introduction; 8.2 Effect of Tuning Parameters on P-only Control; 8.3 Effect of Tuning Parameters on PI Control; 8.4 Effect of Tuning Parameters on PID Control; 8.5 Summary
Chapter 9: PID Controller Tuning 297
9.1 Introduction; 9.2 Tuning Criteria and Performance Assessment; 9.3 Classical Tuning Methods; 9.4 Controller Tuning by Pole Placement; 9.5 PID Tuning Based on Internal Model Control (IMC); 9.6 Controller Reliability; 9.7 Selection of Tuning Criterion; 9.8 Tuning the Filter on Sensor Readings; 9.9 Recommended Approach to Controller Tuning; 9.10 Tuning Fast-Responding Control Loops; 9.11 Tuning Slow-Responding Control Loops; 9.12 PID Tuning; 9.13 Tuning Level Controllers; 9.14 Control Interval; 9.15 Summary
Chapter 10: Troubleshooting Control Loops 343
10.1 Introduction; 10.2 Overall Approach to Troubleshooting; 10.3 Troubleshooting Control Loop in the CPI; 10.4 Troubleshooting Control Loop for Bio-Processes; 10.5 Summary
Chapter 11: Frequency Response Analysis 359
11.1 Introduction; 11.2 Bode Plot; 11.3 Bode Stability Criterion, Gain Margin and Phase Margin; 11.4 Pulse Tests; 11.5 Nyquist Diagrams; 11.6 Closed-Loop Frequency Response; 11.7 Summary
PART IV: ADVANCED PID CONTROL
Chapter 12: Cascade, Ratio, and Feedforward Control 381
12.1 Introduction; 12.2 Cascade Control; 12.3 Ratio Control; 12.4 Feedforward Control; 12.5 Summary
Chapter 13: PID Enhancements 409
13.1 Introduction; 13.2 Inferential Control; 13.3 Scheduling Controller Tuning; 13.4 Override/Select Control; 13.5 Computed Manipulated Variable Control; 13.6 Summary
Chapter 14: PID Implementation Issues 431
14.1 Introduction; 14.2 Anti-windup Strategies; 14.3 Bumpless Transfer; 14.4 Split-Range Control; 14.5 Summary
PART V: CONTROL OF MIMO PROCESSES
Chapter 15: PID Controllers Applied to MIMO Systems 441
15.1 Introduction; 15.2 SISO Controllers and (c, y) Pairings; 15.3 Steady-State Coupling; 15.4 Dynamic Factors in Configuration Selection; 15.5 Sensitivity to Disturbances; 15.6 Tuning Decentralized Controllers; 15.7 Decouplers; 15.8 Summary
Chapter 16: Model Predictive Controller 461
16.1 Introduction; 16.2 Step Response Models (SRMs); 16.3 The Dynamic Matrix; 16.4 Moving Horizon Controller; 16.5 Prediction Vector; 16.6 DMC Controller; 16.7 Extension to MIMO Processes; 16.8 Application of DMC for Constraint Control; 16.9 Combining an LP with DMC; 16.10 DMC Model Identification; 16.11 Organization of an Industrial MPC Application Project; 16.12 Summary
Chapter 17: Multi-Unit Controller Design 491
17.1 Introduction; 17.2 Approach; 17.3 Distillation Column; 17.4 Recycle Reactor Process; 17.5 Summary
Chapter 18: Case Studies 505
18.1 Introduction; 18.2 Heat Exchanger Control; 18.3 CSTR Temperature Control; 18.4 Distillation Control; 18.5 pH Control; 18.6 Summary