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Viser: Process Dynamics and Control
Process Dynamics and Control, International Student Version Vital Source e-bog
Dale E. Seborg
(2011)
Process Dynamics Control, ISV Vital Source e-bog
Seborg
(2014)
Process Dynamics and Control
Dale E. Seborg, Duncan A. Mellichamp og Thomas F. Edgar
(2011)
Sprog: Engelsk
om ca. 10 hverdage
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- 3. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: John Wiley & Sons (Januar 2011)
- ISBN: 9781118506714
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- Vital Source 365 day rentals (dynamic pages)
- Udgiver: John Wiley & Sons (December 2014)
- ISBN: 9781118006245R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
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Detaljer om varen
- 3. Udgave
- Paperback: 464 sider
- Udgiver: John Wiley & Sons, Limited (Januar 2011)
- Forfattere: Dale E. Seborg, Duncan A. Mellichamp og Thomas F. Edgar
- ISBN: 9780470646106
1. Introduction to Process Control 1
1.
1 Representative Process Control Problems 1
1.
2 Illustrative Example A Blending Process 3
1.
3 Classification of Process Control Strategies 5
1.
4 A More Complicated Example A Distillation Column 7
1.
5 The Hierarchy of Process Control Activities 8
1.
6 An Overview of Control System Design 10
2. Theoretical Models of Chemical Processes 15
2.
1 The Rationale for Dynamic Process Models 15
2.
2 General Modeling Principles 17
2.
3 Degrees of Freedom Analysis 21
2.
4 Dynamic Models of Representative Processes 22
2.
5 Process Dynamics and Mathematical Models 35 PART TWO DYNAMIC BEHAVIOR OF PROCESSES
3. Transfer Function Models 43
3.
1 An Illustrative Example: A Continuous Blending System 43
3.
2 Transfer Functions of Complicated Models 45
3.
3 Properties of Transfer Functions 46
3.
4 Linearization of Nonlinear Models 49
4. Dynamic Behavior of First-Order and Second-Order Processes 58
4.
1 Standard Process Inputs 58
4.
2 Response of First-Order Processes 61
4.
3 Response of Integrating Processes 64
4.
4 Response of Second-Order Processes 66
5. Dynamic Response Characteristics of More Complicated Processes 78
5.
1 Poles and Zeros and Their Effect on Process Response 78
5.
2 Processes with Time Delays 82
5.
3 Approximation of Higher-Order Transfer Functions 86
5.
4 Interacting and Noninteracting Processes 88
5.
5 State-Space and Transfer Function Matrix Models 90
5.
6 Multiple-Input, Multiple-Output (MIMO) Processes 93
6. Development of Empirical Models from Process Data 102
6.
1 Model Development Using Linear or Nonlinear Regression 103
6.
2 Fitting First- and Second-Order Models Using Step Tests 107
6.
3 Neural Network Models 112
6.
4 Development of Discrete-Time Dynamic Models 113
6.
5 Identifying Discrete-Time Models from Experimental Data 115 PART THREE FEEDBACK AND FEEDFORWARD CONTROL
7. Feedback Controllers 124
7.
1 Introduction
124
7.
2 Basic Control Modes 126
7.
3 Features of PID Controllers 131
7.
4 On-Off Controllers 134
7.
5 Typical Responses of Feedback Control Systems 134
7.
6 Digital Versions of PID Controllers 135
8. Control System Instrumentation 141
8.
1 Sensors, Transmitters, and Transducers 142
8.
2 Final Control Elements 147
8.
3 Signal Transmission and Digital Communication 153
8.
4 Accuracy in Instrumentation 154
9. Process Safety and Process Control 160
9.
1 Layers of Protection 161
9.
2 Alarm Management 165
9.
3 Abnormal Event Detection 169
9.
4 Risk Assessment 171
10. Dynamic Behavior and Stability of Closed-Loop Control Systems 176
10.
1 Block Diagram Representation 176
10.
2 Closed-Loop Transfer Functions 179
10.
3 Closed-Loop Responses of Simple Control Systems 182
10.
4 Stability of Closed-Loop Control Systems 188
10.
5 Root Locus Diagrams 194
11. PID Controller Design, Tuning, and Troubleshooting 204
11.
1 Performance Criteria for Closed-Loop Systems 204
11.
2 Model-Based Design Methods 206
11.
3 Controller Tuning Relations 211
11.
4 Controllers with Two Degrees of Freedom 216
11.
5 On-Line Controller Tuning 217
11.
6 Guidelines for Common Control Loops 223
11.
7 Troubleshooting Control Loops 225
12. Control Strategies at the Process Unit Level 232
12.
1 Degrees of Freedom Analysis for Process Control 232
12.
2 Selection of Controlled, Manipulated, and Measured Variables 234
12.
3 Applications 238
13. Frequency Response Analysis and Control System Design 248
13.
1 Sinusoidal Forcing of a First-Order Process 248
13.
2 Sinusoidal Forcing of an nth-Order Process 249
13.
3 Bode Diagrams 251
13.
4 Frequency Response Characteristics of Feedback Controllers 255
13.
5 Nyquist Diagrams 260
13.
6 Bode Stability Criterion 260
13.
7 Gain and Phase Margins 264
14. Feedforward and Ratio Control 271
14.
1 Introduction to Feedforward Control 271
14.
2 Ratio Control 273
14.
3 Feedforward Controller Design Based on Steady-State Models 275
14.
4 Feedforward Controller Design Based on Dynamic Models 277
14.
5 The Relationship Between the Steady-State and Dynamic Design Methods 281
14.
6 Configurations for Feedforward-Feedback Control 282
14.
7 Tuning Feedforward Controllers 282 PART FOUR ADVANCED PROCESS CONTROL
15. Enhanced Single-Loop Control Strategies 288
15.
1 Cascade Control 288
15.
2 Time-Delay Compensation 293
15.
3 Inferential Control 296
15.
4 Selective Control/Override Systems 297
15.
5 Nonlinear Control Systems 300
15.
6 Adaptive Control Systems 307
16. Multiloop and Multivariable Control 317
16.
1 Process Interactions and Control Loop Interactions 317
16.
2 Pairing of Controlled and Manipulated Variables 323
16.
3 Singular Value Analysis 330
16.
4 Tuning of Multiloop PID Control Systems 334
16.
5 Decoupling and Multivariable Control Strategies 334
16.
6 Strategies for Reducing Control Loop Interactions 336
17. Digital Sampling, Filtering, and Control 344
17.
1 Sampling and Signal Reconstruction 344
17.
2 Signal Processing and Data Filtering 347
17.
3 z-Transform Analysis for Digital Control 352
17.
4 Tuning of Digital PID Controllers 358
17.
5 Direct Synthesis for Design of Digital Controllers 360
17.
6 Minimum Variance Control 364
18. Batch Process Control 371
18.
1 Batch Control Systems 373
18.
2 Sequential and Logic Control 374
18.
3 Control During the Batch 380
18.
4 Run-to-Run Control 386
18.
5 Batch Production Management 387 Chapters 19 through 23 are online in Instructors Rsources
19. Real-Time Optimization 395
19.
1 Basic Requirements in Real-Time Optimization 396
19.
2 The Formulation and Solution of RTO Problems 399
19.
3 Unconstrained and Constrained Optimization 401
19.
4 Linear Programming 404
19.
5 Quadratic and Nonlinear Programming 408
20. Model Predictive Control 414
20.
1 Overview of Model Predictive Control 414
20.
2 Predictions for SISO Models 416
20.
3 Predictions for MIMO Models 421
20.
4 Model Predictive Control Calculations 423
20.
5 Set-Point Calculations 427
20.
6 Selection of Design and Tuning Parameters 429
20.
7 Implementation of MPC 434
21. Process Monitoring 439
21.
1 Traditional Monitoring Techniques 440
21.
2 Quality Control Charts 441
21.
3 Extensions of Statistical Process Control 447
21.
4 Multivariate Statistical Techniques 449
21.
5 Control Performance Monitoring 451 PART FIVE APPLICATIONS TO BIOLOGICAL SYSTEMS
22. Biosystems Control Design 456
22.
1 Process Modeling and Control in Pharmaceutical Operations 456
22.
2 Process Modeling and Control for Drug Delivery 462
23. Dynamics and Control of Biological Systems 470
24.
1 Systems Biology 470
24.
2 Gene Regulatory Control 472
24.
3 Signal Transduction Networks 476
Appendix A: Laplace Transforms A-1 A.
1 The Laplace Transform of Representative Functions A-1 A.
2 Solution of Differential Equations by Laplace Transform Techniques A-5 A.
3 Partial Fraction Expansion A-7 A.
4 Other Laplace Transform Properties A-10 A.
5 A Transient Response Example A-13
Appendix B: Digital Process Control Systems: Hardware and Software A-21 B.
1 Distributed Digital Control Systems A-22 B.
2 Analog and Digital Signals and Data Transfer A-22 B.
3 Microprocessors and Digital Hardware in Process Control A-24 B.
4 Software Organization A-27
Appendix C: Review of Thermodynamic Concepts for Conservation Equations A-34 C.
1 Single-Component Systems A-34 C.
2 Multicomponent Systems A-35
Appendix D: Control Simulation Software A-36 D.
1 MATLAB Operations and Equation Solving A-36 D.
2 Computer Simulation with Simulink A-38 D.
3 Computer Simulation with LabVIEW A-40
Appendix E: Process Control Modules A-43 E.
1. Introduction
A-43 E.
2. Module Organization A-43 E.
3. Hardware and Software Requirements A-44 E.
4. Installation A-44 E.
5. Running the Software A-44 Appendices F through K are online in Instructors Resources
Appendix F: Introduction to Plantwide Control A-45 F.
1 Plantwide Control Issues A-45 F.
2 Hypothetical Plant for Plantwide Control Studies A-47 F.
3 Internal Feedback of Material and Energy A-51 F.
4 Interaction of Plant Design and Control System Design A-59
Appendix G: Plantwide Control System Design A-63 G.
1 Procedures for the Design of Plantwide Control Systems A-63 G.
2 A Systematic Procedure for Plantwide Control System Design A-64 G.
3 Case Study: The Reactor/Flash Unit Plant A-67 G.
4 Effect of Control Structure on Closed-Loop Performance A-78
Appendix H: Dynamic Models and Parameters Used for Plantwide Control Chapters A-82 H.
1 Energy Balance and Parameters for the Reactor/Distillation Column Model A-82 H.
2 Core Reactor/Flash Unit Model and Parameters A-82
Appendix I: Instrumentation Symbols A-88
Appendix J: Review of Basic Concepts f