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Viser: Process Dynamics and Control

Process Dynamics and Control, International Student Version, 3. udgave
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Process Dynamics and Control, International Student Version Vital Source e-bog

Dale E. Seborg
(2011)
John Wiley & Sons
464,00 kr.
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Process Dynamics Control, ISV, 3. udgave

Process Dynamics Control, ISV Vital Source e-bog

Seborg
(2014)
John Wiley & Sons
355,00 kr.
Leveres umiddelbart efter køb
Process Dynamics and Control, 3. udgave

Process Dynamics and Control

Dale E. Seborg, Duncan A. Mellichamp og Thomas F. Edgar
(2011)
Sprog: Engelsk
John Wiley & Sons, Limited
673,00 kr.
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Detaljer om varen

  • 3. Udgave
  • Vital Source searchable e-book (Fixed pages)
  • Udgiver: John Wiley & Sons (Januar 2011)
  • ISBN: 9781118506714
This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.
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Detaljer om varen

  • 3. Udgave
  • Vital Source 365 day rentals (dynamic pages)
  • Udgiver: John Wiley & Sons (December 2014)
  • ISBN: 9781118006245R365
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.

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Copy: højest 2 sider i alt kan kopieres (copy/paste)

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
This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.

PART ONE INTRODUCTION TO PROCESS CONTROL
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
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