Prett / García / Ramaker The Second Shell Process Control Workshop

Solutions to the Shell Standard Control Problem
1. Auflage 2017
ISBN: 978-1-4831-0224-5
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 696 Seiten, Web PDF

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.

Autoren/Hrsg.

Prett, David M.

García, Carlos E.

Ramaker, Brian L.

Inhaltsverzeichnis

1;Front Cover;1
2;The Second Shell Process Control Workshop: Solutions to the Shell Standard Control Problem;2
3;Copyright Page;3
4;Table of Contents;4
5;ACKNOWLEDGMENT;6
6;OBJECTIVES;10
7;WORKSHOP COORDINATORS;12
8;AUTHOR INDEX;14
9;SCHEDULE OF EVENTS;16
10;Part 1: Workshop Address;20
10.1;Chapter 1. Automatic Tuning and Adaptive Control - Past Accomplishments and Future Directions;22
10.1.1;I Introduction;22
10.1.2;II Automatic Tuning;23
10.1.3;Ill Adaptive Control;30
10.1.4;IV Robust and Adaptive Control;34
10.1.5;V Expert Control;36
10.1.6;VI Conclusions;39
10.1.7;References;39
10.2;Chapter 1.2 Summary of Presentation and Discussion;42
11;Part 2: Workshop Papers;44
11.1;Chapter 2.1 Solution to the Shell Standard Control Problem;46
11.1.1;I Introduction;46
11.1.2;II Problem Discussion;48
11.1.3;Ill A Solution Algorithm Based on Nonlinear Programming;54
11.1.4;IV Simulation Results;58
11.1.5;V Control System Analysis;70
11.1.6;VI Future Directions;71
11.1.7;VII Concluding Remarks;76
11.1.8;References;76
11.2;Chapter 2.2 An Operator Control Theory Approach to the Shell Standard Control Problem;78
11.2.1;I Preliminaries;78
11.2.2;II Stability Conditions;80
11.2.3;III A Robust Linear Control Stabilization Interpretation of the Necessary Conditions;83
11.2.4;IV Practical Interpretation of a Condition Violation;84
11.2.5;V Analysis of Simulation Results;85
11.2.6;VI Illustrations;85
11.2.7;VII Acknowledgements;103
11.2.8;References;103
11.3;Chapter 2.3 Discrete Time Adaptive Predictive Control;108
11.3.1;I Motivation and Literature Review;108
11.3.2;II Introduction to Parameter Adaptive Control;109
11.3.3;Ill Parameter Estimation and Control;111
11.3.4;IV Robustness Result For Adaptive Control;116
11.3.5;VI Summary and Discussion;120
11.3.6;VII Acknowledgements;120
11.3.7;VIII A. Average Small Gain Result;121
11.3.8;References;122
11.4;Chapter 2.4 Designing a Control System for the Shell Problem;128
11.4.1;I Introduction;128
11.4.2;II Problem Description;130
11.4.3;I l l General Plan of Attack;135
11.4.4;IV Description of the Plant Uncertainty;149
11.4.5;V Results and Discussion;151
11.4.6;VI Future Work;152
11.4.7;Acknowledgements;153
11.4.8;VII Appendix: A. Discrete LQG/LTR Controller Design;153
11.4.9;References;158
11.5;Chapter 2.5 On Solving the Fundamental Control Problem in the Presence of Uncertainty: A Mathematical Programming Approach;168
11.5.1;I Introduction;168
11.5.2;II General Uncertainty Description and Simplifying Assumptions;170
11.5.3;Ill NLP Formulations of the "Worst Case" QDMC Controller;173
11.5.4;IV Application to Shell Process Control Workshop Problem;177
11.5.5;V Conclusions;179
11.5.6;VI Acknowledgments;181
11.5.7;References;181
11.6;Chapter 2.6 Scheduled Controllers for Robust, Non-Linear Control: Introduction and Application to the Shell Standard Control Problem;200
11.6.1;I Introduction;200
11.6.2;II Introduction to Robust, Scheduled, Non-Linear Controllers;201
11.6.3;Ill The Shell Standard Control Problem;204
11.6.4;IV Controller Design;205
11.6.5;V Results;211
11.6.6;VI Summary;212
11.6.7;VII Acknowledgments;212
11.6.8;References;212
11.7;Chapter 2.7 Optimal Control and Model Identification Applied to the Shell Standard Control Problem;228
11.7.1;I Introductory Remarks;228
11.7.2;II Steady-state Control Problem;231
11.7.3;Ill Control Methodology;233
11.7.4;IV Test Cases;244
11.7.5;V Concluding Remarks;254
11.7.6;Notation;256
11.7.7;Acknowledgments;257
11.7.8;References;257
11.8;Chapter 2.8 A Multiobjective Predictive Control Solution to the Shell Control Problem;260
11.8.1;I Introduction;260
11.8.2;II Solution Approach;260
11.8.3;Ill Simulation Results;264
11.8.4;IV Conclusions;265
11.8.5;V Acknowledgements;266
11.8.6;References;266
11.9;Chapter 2.9 An l°° Optimal Performance Approach to LinearFeedback Control;288
11.9.1;I Introduction;288
11.9.2;II Problem Definition;289
11.9.3;Ill Controller Formulation;292
11.9.4;IV Problem Solution;293
11.9.5;V Applications;300
11.9.6;References;304
11.10;Chapter 2.10 A Game Theoretic Approach to Robust Controller Synthesis and the Shell Control Problem;310
11.10.1;I Introduction;310
11.10.2;II The Game Theoretic Approach;311
11.10.3;Ill Examples;313
11.10.4;IV Implications for Nonlinear Robust Control;318
11.10.5;V The Shell Control Problem;322
11.10.6;VI A Reduced Version of the Shell Control Problem;325
11.10.7;VII Discussion-Conclusions;329
11.10.8;VIII Acknowledgment;329
11.10.9;References;329
11.11;Chapter 2.11 Decentralized Control System Design for a Heavy Oil Fractionator - The Shell Control Problem;334
11.11.1;I Introduction;334
11.11.2;II Design Philosophy;336
11.11.3;Ill Achievable Steady-State Performance;337
11.11.4;IV Preliminary Control Structure Analysis;343
11.11.5;V Secondary Control System Design;347
11.11.6;VI Primary Control System Design;350
11.11.7;VII Supervisory Controller;353
11.11.8;VIII Control System Overview;356
11.11.9;IX Prototype Test Cases;356
11.11.10;References;359
11.12;Chapter 2.12 Modular Multivariable Control Applied to the Shell Heavy Oil Fractionator Problem;386
11.12.1;I Extended Abstract;386
12;Part 3: Workshop Papers Discussion Sessions;394
12.1;Introduction;396
12.2;3.1 "Solution to the Shell Standard Control Problem," J.E. Cuthrell (Speaker), D.E. Rivera, W.J. Schmidt and J.A. Vegeais;396
12.3;3.2 "An Operator Control Theory Approach to the Shell Standard Control Problem," E. Zafiriou (Speaker);398
12.4;3.3 "Discrete Time Adaptive Predictive Control," C. C. Finn and B. E. Ydstie (Speaker);400
12.5;3.4 "Designing a Control System for the Shell Problem," Tse-Wei Wang (Speaker), Chun-Yao Lien, J. D. Birdwell and P. Hansen;402
12.6;3.5 "On Solving the Fundamental Control Problem in the Presence of Uncertainty: A Mathematical Programming Approach,";403
12.7;3.6 "Scheduled Controllers for Robust, Non-Linear Control: Introduction and Application to the Shell Standard Control Problem,";405
12.8;3.7 "Optimal Control and Model Identification Applied to the Shell Standard Control Problem,";406
12.9;3.8 "A Multiobjective Predictive Control Solution to the Shell Control Problem,";408
12.10;3.9 "An l°° Optimal Performance Approach to Linear Feedback Control,";409
12.11;3.10 A Game Theoretic Approach to Robust Controller Synthesis and the Shell Control Problem,";411
12.12;3.11 "Decentralized Control System Design for a Heavy Oil Fractionator - The Shell Control Problem,";411
12.13;3.12 "Modular Multivariable Control Applied to the Shell Heavy Oil Fractionator Problem,";413
12.14;3.13 General Discussion of the Shell Standard Control Problem Solution;414
13;Part 4: Distinguished Papers;418
13.1;Chapter 4.1 Fundamental Process Control;420
13.1.1;I Real Issues in Process Control: An Introduction;421
13.1.2;II The Fundamental Control Problem Formulation;425
13.1.3;Ill The Model Predictive Control Methodology: DMC;432
13.1.4;IV Linear Fundamental Control Problem: A Robust Control Algorithm;437
13.1.5;V Design Methodologies and the Fundamental Control Problem;445
13.1.6;VI Summary and Future Directions;456
13.1.7;References;457
13.2;Chapter 4.2 Statistical Process Control and Interfaces with Process Control;460
13.2.1;I Introduction;460
13.2.2;II Different Philosophies on Control;461
13.2.3;Ill Quality Control Charts;462
13.2.4;IV Discrete Process Control;465
13.2.5;V Summary;470
13.2.6;References;470
13.3;Chapter 4.3 What and Who is in Control? A Process Control Perspective on Statistical Process Control;474
13.3.1;I Introduction;474
13.3.2;II Historical Perspective on the SPC Phenomenon;474
13.3.3;Ill Discrete vs Continuous Manufacturing;475
13.3.4;IV When is a Process "In Control?";476
13.3.5;V A Fundamental Difference in Focus;477
13.3.6;VI Stochastic vs Deterministic World View;477
13.3.7;VII Dynamic vs Static Process View;478
13.3.8;VIII Reactive vs Proactive Focus;479
13.3.9;IX Fundamental Differences in the Basic Tools;479
13.3.10;X Fundamental Differences in Who Owns the Tools;481
13.3.11;XI A Push for a Better Plant Culture;482
13.3.12;XII Role of Education in Establishing that New Culture;483
13.3.13;XIII Need for a New SPC Paradigm;484
13.3.14;XIV What is the Real Issue;485
13.3.15;References;486
13.4;Chapter 4.4 Process Control Theory: Reflections on the Past and Goals for the Next Decade;488
13.4.1;I Introduction;488
13.4.2;II The Role of Process Control Theory and Experiment;489
13.4.3;Ill Control Theory of the 1960's and 1970's;491
13.4.4;IV Model Predictive Control;492
13.4.5;V Robust Process Control;494
13.4.6;VI Control Structure Selection;497
13.4.7;VII The Shell Control Problem;499
13.4.8;VIII Some Research Topics for the Next Decade;502
13.4.9;IX Acknowledgment;502
13.4.10;References;502
13.5;Chapter 4.5 Systems Engineering - An Educator's Perspective;508
13.5.1;I Introduction;509
13.5.2;II Definitions;511
13.5.3;Ill System Engineering as a Unifying Discipline;525
13.5.4;IV Designing Systems;528
13.5.5;V Operating Systems;534
13.5.6;VI Systems Engineering and People;542
13.5.7;VII A Tool for Unified Education;542
13.5.8;VIII Expertise Integration in Team-Work;543
13.5.9;IX Understanding Details from a Total View;544
13.5.10;X Human Relations, Human Factors - Reactions and Interactions;545
13.5.11;XI An Industrial View Point on Systems Engineering;548
13.5.12;XII Summary and Conclusion;550
13.5.13;XIII Acknowledgement;551
13.5.14;References;551
13.6;Chapter 4.6 The Role of Emerging Technologies in Real-Time Manufacturing Computer Systems;556
13.6.1;I Introduction;556
13.6.2;II Efficiency and Effectiveness in the Application of Computers to Manufacturing;557
13.6.3;Ill Symbolic and Subsymbolic Processing: Process States, Dynamics, and Causality;570
13.6.4;IV An Introduction to Neural Networks;584
13.6.5;References;605
13.7;Chapter 4.7 Artificial Intelligence... 'What Will Its Contributions Be to Process Control'?;610
13.7.1;I Introduction;610
13.7.2;II Integrated View of Process Control;612
13.7.3;Ill Structure of an "Intelligent Process Control System";623
13.7.4;IV Design of Control Systems;630
13.7.5;V Epilog;641
13.7.6;VI Acknowledgement;642
13.7.7;References;642
14;Chapter 5: Distinguished Papers Discussion Sessions;666
14.1;Introduction;668
14.2;5.1 "Fundamental Process Control," C. E. García (Speaker);668
14.3;5.2 "Statistical Process Control and Interfaces with Process Control,";672
14.4;5.3 "What and Who is in Control? A Process Control Perspective on Statistical Process Control,";673
14.5;5.4 "Process Control Theory: Reflections on the Past and Goals for the Next Decade,";675
14.6;5.5 "Systems Engineering - An Educator's Perspective,";678
14.7;5.6 "The Role of Emerging Technologies in Real-Time Manufacturing Computer Systems,";679
14.8;5.7 "Artificial Intelligence ... 'What Will Its Contributions Be to Process Control'?,";680
15;Chapter 6: Workshop Summary;684
16;Appendix A The Shell Standard Control Problem;690