Chemical and bio-process control
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書誌事項
Chemical and bio-process control
Pearson Education, c2006
3rd ed., Pearson international ed
- : pbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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
目次
- PART I: INTRODUCTIONChapter1: Introduction 31.1 Chemical and Bio-Process Control
- 1.2 Everyday Examples of Process Control
- 1.3 Control Diagrams and P 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 352.1 Introduction
- 2.2 Control Systems
- 2.3 Actuator Systems (Final Control Elements)
- 2.4 Sensor Systems
- 2.5 Summary PART II: PROCESS DYNAMICSChapter 3: Dynamic Modeling 873.1 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 1334.1 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 1575.1 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 2016.1 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 CONTROLChapter 7: PID Control 2357.1 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 2798.1 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 2979.1 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 34310.1 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 35911.1 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 CONTROLChapter 12: Cascade, Ratio, and Feedforward Control 38112.1 Introduction
- 12.2 Cascade Control
- 12.3 Ratio Control
- 12.4 Feedforward Control
- 12.5 Summary Chapter 13: PID Enhancements 40913.1 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 43114.1 Introduction
- 14.2 Anti-windup Strategies
- 14.3 Bumpless Transfer
- 14.4 Split-Range Control
- 14.5 Summary PART V: CONTROL OF MIMO PROCESSESChapter 15: PID Controllers Applied to MIMO Systems 44115.1 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 46116.1 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 49117.1 Introduction
- 17.2 Approach
- 17.3 Distillation Column
- 17.4 Recycle Reactor Process
- 17.5 Summary Chapter 18: Case Studies 50518.1 Introduction
- 18.2 Heat Exchanger Control
- 18.3 CSTR Temperature Control
- 18.4 Distillation Control
- 18.5 pH Control
- 18.6 Summary Appendix A: Answers to Self-Assessment Questions and Problems 539Appendix B: Piping and Instrumentation Diagrams 559Appendix C: Pseudo-Random Number Generator 563Appendix D: Signal Filtering 565Index 569
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