CiNii 図書 - Chemical and bio-process control

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

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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