Second Shell Process Control Workshop (eBook)

Solutions to the Shell Standard Control Problem

Carlos E. Garcia, David M. Prett, Brian L. Ramaker (Autoren)

eBook Download: PDF

2017 | 1. Auflage
696 Seiten
Elsevier Science (Verlag)
978-1-4831-0224-5 (ISBN)

Infos

The Second Shell Process Control Workshop covers the proceedings of a workshop of the same name, held in Houston, Texas on December 12-16, 1988. The said workshop seeks to improve the communication process between academic researchers, industrial researchers, and the engineering community in the field of process control, and in turn improve understanding of the nature of the control problems. The book covers topics such as automatic tuning and adaptive control; an operator control theory approach to the shell standard control problem; discrete time-adaptive predictive control; and the designing of a control system. Also included are topics such as optimal control and model identification; fundamental process control; statistical process control; and interfaces with process control. The text is recommended for researchers and practitioners in the field of engineering who would like to know more about process control and modeling.

Inhalt

Front Cover 1
The Second Shell Process Control Workshop: Solutions to the Shell Standard Control Problem 2
Copyright Page 3
Table of Contents 4
ACKNOWLEDGMENT 6
OBJECTIVES 10
WORKSHOP COORDINATORS 12
AUTHOR INDEX 14
SCHEDULE OF EVENTS 16
Part 1: Workshop Address 20
Chapter 1. Automatic Tuning and Adaptive Control - Past Accomplishments and Future Directions 22
I Introduction 22
II Automatic Tuning 23
Ill Adaptive Control 30
IV Robust and Adaptive Control 34
V Expert Control 36
VI Conclusions 39
References 39
Chapter 1.2 Summary of Presentation and Discussion 42
Part 2: Workshop Papers 44
Chapter 2.1 Solution to the Shell Standard Control Problem 46
I Introduction 46
II Problem Discussion 48
Ill A Solution Algorithm Based on Nonlinear Programming 54
IV Simulation Results 58
V Control System Analysis 70
VI Future Directions 71
VII Concluding Remarks 76
References 76
Chapter 2.2 An Operator Control Theory Approach to the Shell Standard Control Problem 78
I Preliminaries 78
II Stability Conditions 80
III A Robust Linear Control Stabilization Interpretation of the Necessary Conditions 83
IV Practical Interpretation of a Condition Violation 84
V Analysis of Simulation Results 85
VI Illustrations 85
VII Acknowledgements 103
References 103
Chapter 2.3 Discrete Time Adaptive Predictive Control 108
I Motivation and Literature Review 108
II Introduction to Parameter Adaptive Control 109
Ill Parameter Estimation and Control 111
IV Robustness Result For Adaptive Control 116
VI Summary and Discussion 120
VII Acknowledgements 120
VIII A. Average Small Gain Result 121
References 122
Chapter 2.4 Designing a Control System for the Shell Problem 128
I Introduction 128
II Problem Description 130
I l l General Plan of Attack 135
IV Description of the Plant Uncertainty 149
V Results and Discussion 151
VI Future Work 152
Acknowledgements 153
VII Appendix: A. Discrete LQG/LTR Controller Design 153
References 158
Chapter 2.5 On Solving the Fundamental Control Problem in the Presence of Uncertainty: A Mathematical Programming Approach 168
I Introduction 168
II General Uncertainty Description and Simplifying Assumptions 170
Ill NLP Formulations of the "Worst Case" QDMC Controller 173
IV Application to Shell Process Control Workshop Problem 177
V Conclusions 179
VI Acknowledgments 181
References 181
Chapter 2.6 Scheduled Controllers for Robust, Non-Linear Control: Introduction and Application to the Shell Standard Control Problem 200
I Introduction 200
II Introduction to Robust, Scheduled, Non-Linear Controllers 201
Ill The Shell Standard Control Problem 204
IV Controller Design 205
V Results 211
VI Summary 212
VII Acknowledgments 212
References 212
Chapter 2.7 Optimal Control and Model Identification Applied to the Shell Standard Control Problem 228
I Introductory Remarks 228
II Steady-state Control Problem 231
Ill Control Methodology 233
IV Test Cases 244
V Concluding Remarks 254
Notation 256
Acknowledgments 257
References 257
Chapter 2.8 A Multiobjective Predictive Control Solution to the Shell Control Problem 260
I Introduction 260
II Solution Approach 260
Ill Simulation Results 264
IV Conclusions 265
V Acknowledgements 266
References 266
Chapter 2.9 An l°° Optimal Performance Approach to LinearFeedback Control 288
I Introduction 288
II Problem Definition 289
Ill Controller Formulation 292
IV Problem Solution 293
V Applications 300
References 304
Chapter 2.10 A Game Theoretic Approach to Robust Controller Synthesis and the Shell Control Problem 310
I Introduction 310
II The Game Theoretic Approach 311
Ill Examples 313
IV Implications for Nonlinear Robust Control 318
V The Shell Control Problem 322
VI A Reduced Version of the Shell Control Problem 325
VII Discussion-Conclusions 329
VIII Acknowledgment 329
References 329
Chapter 2.11 Decentralized Control System Design for a Heavy Oil Fractionator - The Shell Control Problem 334
I Introduction 334
II Design Philosophy 336
Ill Achievable Steady-State Performance 337
IV Preliminary Control Structure Analysis 343
V Secondary Control System Design 347
VI Primary Control System Design 350
VII Supervisory Controller 353
VIII Control System Overview 356
IX Prototype Test Cases 356
References 359
Chapter 2.12 Modular Multivariable Control Applied to the Shell Heavy Oil Fractionator Problem 386
I Extended Abstract 386
Part 3: Workshop Papers Discussion Sessions 394
Introduction 396
3.1 "Solution to the Shell Standard Control Problem," J.E. Cuthrell (Speaker), D.E. Rivera, W.J. Schmidt and J.A. Vegeais 396
3.2 "An Operator Control Theory Approach to the Shell Standard Control Problem," E. Zafiriou (Speaker) 398
3.3 "Discrete Time Adaptive Predictive Control," C. C. Finn and B. E. Ydstie (Speaker) 400
3.4 "Designing a Control System for the Shell Problem," Tse-Wei Wang (Speaker), Chun-Yao Lien, J. D. Birdwell and P. Hansen 402
3.5 "On Solving the Fundamental Control Problem in the Presence of Uncertainty: A Mathematical Programming Approach," 403
3.6 "Scheduled Controllers for Robust, Non-Linear Control: Introduction and Application to the Shell Standard Control Problem," 405
3.7 "Optimal Control and Model Identification Applied to the Shell Standard Control Problem," 406
3.8 "A Multiobjective Predictive Control Solution to the Shell Control Problem," 408
3.9 "An l°° Optimal Performance Approach to Linear Feedback Control," 409
3.10 A Game Theoretic Approach to Robust Controller Synthesis and the Shell Control Problem," 411
3.11 "Decentralized Control System Design for a Heavy Oil Fractionator - The Shell Control Problem," 411
3.12 "Modular Multivariable Control Applied to the Shell Heavy Oil Fractionator Problem," 413
3.13 General Discussion of the Shell Standard Control Problem Solution 414
Part 4: Distinguished Papers 418
Chapter 4.1 Fundamental Process Control 420
I Real Issues in Process Control: An Introduction 421
II The Fundamental Control Problem Formulation 425
Ill The Model Predictive Control Methodology: DMC 432
IV Linear Fundamental Control Problem: A Robust Control Algorithm 437
V Design Methodologies and the Fundamental Control Problem 445
VI Summary and Future Directions 456
References 457
Chapter 4.2 Statistical Process Control and Interfaces with Process Control 460
I Introduction 460
II Different Philosophies on Control 461
Ill Quality Control Charts 462
IV Discrete Process Control 465
V Summary 470
References 470
Chapter 4.3 What and Who is in Control? A Process Control Perspective on Statistical Process Control 474
I Introduction 474
II Historical Perspective on the SPC Phenomenon 474
Ill Discrete vs Continuous Manufacturing 475
IV When is a Process "In Control?" 476
V A Fundamental Difference in Focus 477
VI Stochastic vs Deterministic World View 477
VII Dynamic vs Static Process View 478
VIII Reactive vs Proactive Focus 479
IX Fundamental Differences in the Basic Tools 479
X Fundamental Differences in Who Owns the Tools 481
XI A Push for a Better Plant Culture 482
XII Role of Education in Establishing that New Culture 483
XIII Need for a New SPC Paradigm 484
XIV What is the Real Issue 485
References 486
Chapter 4.4 Process Control Theory: Reflections on the Past and Goals for the Next Decade 488
I Introduction 488
II The Role of Process Control Theory and Experiment 489
Ill Control Theory of the 1960's and 1970's 491
IV Model Predictive Control 492
V Robust Process Control 494
VI Control Structure Selection 497
VII The Shell Control Problem 499
VIII Some Research Topics for the Next Decade 502
IX Acknowledgment 502
References 502
Chapter 4.5 Systems Engineering - An Educator's Perspective 508
I Introduction 509
II Definitions 511
Ill System Engineering as a Unifying Discipline 525
IV Designing Systems 528
V Operating Systems 534
VI Systems Engineering and People 542
VII A Tool for Unified Education 542
VIII Expertise Integration in Team-Work 543
IX Understanding Details from a Total View 544
X Human Relations, Human Factors - Reactions and Interactions 545
XI An Industrial View Point on Systems Engineering 548
XII Summary and Conclusion 550
XIII Acknowledgement 551
References 551
Chapter 4.6 The Role of Emerging Technologies in Real-Time Manufacturing Computer Systems 556
I Introduction 556
II Efficiency and Effectiveness in the Application of Computers to Manufacturing 557
Ill Symbolic and Subsymbolic Processing: Process States, Dynamics, and Causality 570
IV An Introduction to Neural Networks 584
References 605
Chapter 4.7 Artificial Intelligence... 'What Will Its Contributions Be to Process Control'? 610
I Introduction 610
II Integrated View of Process Control 612
Ill Structure of an "Intelligent Process Control System" 623
IV Design of Control Systems 630
V Epilog 641
VI Acknowledgement 642
References 642
Chapter 5: Distinguished Papers Discussion Sessions 666
Introduction 668
5.1 "Fundamental Process Control," C. E. García (Speaker) 668
5.2 "Statistical Process Control and Interfaces with Process Control," 672
5.3 "What and Who is in Control? A Process Control Perspective on Statistical Process Control," 673
5.4 "Process Control Theory: Reflections on the Past and Goals for the Next Decade," 675
5.5 "Systems Engineering - An Educator's Perspective," 678
5.6 "The Role of Emerging Technologies in Real-Time Manufacturing Computer Systems," 679
5.7 "Artificial Intelligence ... 'What Will Its Contributions Be to Process Control'?," 680
Chapter 6: Workshop Summary 684
Appendix A The Shell Standard Control Problem 690

Produkt-Details

• Erscheint lt. Verlag: 10.7.2017
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Maschinenbau
• ISBN-10: 1-4831-0224-6 / 1483102246
• ISBN-13: 978-1-4831-0224-5 / 9781483102245