Model Based Process Control (eBook)

Proceedings of the IFAC Workshop, Atlanta, Georgia, USA, 13-14 June, 1988

Y. Arkun, T.J. McAvoy, E. Zafiriou (Herausgeber)

eBook Download: PDF

2014 | 1. Auflage
172 Seiten
Elsevier Science (Verlag)
978-1-4832-9823-8 (ISBN)

Infos

Presented at this workshop were mathematical models upon which process control is based and the practical applications of this method of control within industry; case studies include examples from the paper and pulp industry, materials industry and the chemical industry, among others. From these presentations emerged a need for further research and development into process control. Containing 19 papers these Proceedings will be a valuable reference work for all those involved in the designing of continuous production processes for industry and for the end user involved in the practical application of process control within their manufacturing process.

Inhalt

Front Cover 1
Model Based Process Control 4
Copyright Page 5
Table of Contents 10
Foreword 8
PART 1: TUTORIAL 12
CHAPTER 1. MODEL PREDICTIVE CONTROL: THEORY 
12 
ABSTRACT 12
INTRODUCTION 12
HISTORICAL BACKGROUND 13
MODELS 14
MPC ALGORITHM FORMULATIONS 14
ANALYSIS 15
UNCONSTRAINED MPC 15
CONSTRAINED MPC 19
ROBUSTNESS 20
CONCLUSIONS 21
ACKNOWLEDGEMENT 21
REFERENCES 21
PART 2: INVITED INDUSTRIAL CASE STUDIES 24
CHAPTER 2. CASE STUDIES OF MODEL-PREDICTIVE 
 
24 
ABSTRACT 24
INTRODUCTION 24
THE EVAPORATION PROCESS 24
CONTROL OF THE FULL-SCALE EVAPORATOR 28
SIMULATED CONTROL OF EVAPORATOR WITH STORAGE TANKS 29
SUMMARY 29
ACKNOWLEGEMENTS 30
LITERATURE CITED 30
CHAPTER 3. DESIGN CONSIDERATIONS FOR A 
 
 
34 
INTRODUCTION 34
PROCESS DESCRIPTION 34
DESIGN CONSIDERATIONS 35
PROCESS IDENTIFICATION 37
SUMMARY 38
CHAPTER 4. THE IDOCOM–M CONTROLLER 42
INTRODUCTION 42
REQUIREMENTS FOR INDUSTRIAL MULTIVARIABLE CONTROLLERS 42
THE IDCOM–M CONTROLLER 43
EXAMPLES 45
CONCLUSION 45
REFERENCES 47
CHAPTER 5. SMOC, A BRIDGE BETWEEN STATE SPACE 
 
 
48 
REFERENCES 54
CHAPTER 6. STATE SPACE MODEL PREDICTIVE 
 
58 
INTRODUCTION 58
PROPERTIES OF THE PRESENT METHOD 59
THE APPLICATION OF MODEL PREDICTIVE CONTROL TO A MULTISTAGE ELECTROMETALURGICAL PROCESS 59
THE MODEL 59
THE OBJECTIVE FUNCTIONAL 60
SOLUTION STRATEGY 60
SIMULATION EXPERIMENTS 61
CONCLUSION 62
'ACKNOWLEDGEMENT 62
NOMENCLATURE 62
REFERENCES 62
CHAPTER 7. MODEL-BASED DUAL COMPOSITION 
 
66 
INTRODUCTION 66
PROCESS DESCRIPTION 66
MODEL BASED CONTROL 67
REFERENCES 70
PART 3: CONTRIBUTED PAPERS 74
CHAPTER 8. DISTURBANCE FEEDBACK IN MODEL 
74 
ABSTRACT 74
INTRODUCTION 74
STATE SPACE FORM OF THE PROCESS MODEL 75
PREDICTION AND FEEDBACK OF RESIDUAL CORRECTION TERM 76
EXPERIMENTAL RESULTS 77
CONCLUSIONS 78
LITERATURE CITED 78
APPENDIX A 79
CHAPTER 9. DEVELOPMENT OF A MULTIVARIABLE 
80 
I. INTRODUCTION 80
II. ALGORITHM DEVELOPMENT 81
III. FMC PERFORMANCE 83
IV. SUMMARY 84
APPENDIX 84
REFERENCES 84
CHAPTER 10. A STUDY ON ROBUST STABILITY OF MODEL 
86 
ABSTRACT 86
INTRODUCTION 86
GENERAL DESCRIPTION OF THE MODEL PREDICTIVE CONTROL 86
ROBUST STABILITY OF SISO SYSTEMS 87
ROBUST STABILITY AND COINCIDENCE HORIZON 88
ROBUST STABILITY OF MULTIVARIABLE SYSTEMS 89
CONCLUSION 89
APPENDIX 89
REFERENCE 91
CHAPTER 11. PREDICTIVE CONTROL: A REVIEW AND 
92 
1.Introduction 92
2. Underlying Models 93
3. Cost, Control Action, and Command Signal 93
4. Controller Structure 94
5. Stability Properties 95
6. Conclusions 96
REFERENCES 97
CHAPTER 12. ROBUSTNESS AND TUNING OF ON-LINE 
100 
Abstract 100
1 Introduction 100
2 The On-Line Optimization Problem 100
3 Formulation of the Problem as Contraction Mapping 101
4 Stability Conditions 101
5 Illustration 103
6 Conclusions 104
Acknowledgements 104
References 104
CHAPTER 13. APPLICATION OF SINGULAR VALUE 
 
 
106 
INTRODUCTION 106
DPS SINGULAR VALUE THEORY 107
MODEL BASED CONTROL 109
EXAMPLES 111
SUMMARY 112
REFERENCES 112
CHAPTER 14. MODEL-BASED CONTROL FOR SYSTEMS IN 
114 
INTRODUCTION 114
SYSTEM DESCRIPTION 114
CONVENTIONAL MODEL-BASED SCHEMES 115
ALTERNATIVE APPLICATIONS 115
SENSITIVITY ASPECTS 117
CONCLUDING REMARKS 118
ACKNOWLEDGEMENT 118
REFERENCES 118
CHAPTER 15. GENERIC MODEL CONTROL — THEORY AND 
122 
ABSTRACT 122
1.0 INTRODUCTION 122
2.0 CONTROL STRUCTURE 123
3.0 RESPONSE SPECIFICATION 124
4.0 LINEAR CONTROL IN A GMC FRAMEWORK 124
5.0 MODEL STRUCTURE AND DIMENSIONALITY 125
6.0 MULTIVARIABLE DEADTIME SYSTEMS 127
7.0 SUMMARY 128
8.0 ACKNOWLEDGEMENTS 128
9.0 REFERENCES 128
CHAPTER 16. INTEGRATED MODEL BASED CONTROL OF 
132 
INTRODUCTION 132
THEORY 132
APPLICATION TO DISTILLATION COLUMN CONTROL 134
RESULT OF THE EXAMPLE STUDY 135
CONCLUSIONS 136
NOTATIONS 137
REFERENCES 137
CHAPTER 17. MODEL-PREDICTIVE CONTROL AND 
 
140 
Abstract 140
Keywords 140
Introduction 140
Solution Methods 141
Parametric Sensitivity 141
Second Order Sensitivity 142
Computational results 142
Example 1 142
Example 2 144
Conclusion 145
References 145
CHAPTER 18. CONCENTRATION PROFILE ESTIMATION 
148 
Abstract 148
Introduction 148
The Control Problem 149
Model Reduction 149
System Analysis 150
Comparison of nonlinear and linearized reduced model 150
Modal Analysis of the Linear Model 150
Measures of Observability, Controllability and Disturbability 151
Measurement Location 151
Interaction Measures 151
System Analysis Summary 152
Control System Synthesis 152
State Estimation and Proportional Feedback 152
Proportional-integral Feedback 152
Concentration Profile Estimation 153
Conclusions 154
References 154
CHAPTER 19. AN APPROACH TO MULTIVARIABLE 
156 
ABSTRACT 156
INTRODUCTION 156
2. A MULTIVARIABLE IDENTIFICATION METHOD 156
3. RESULTS AND DISCUSSION 160
5.CONCLUSIONS 161
REFERENCES 161
AUTHOR INDEX 164

Produkt-Details

• Erscheint lt. Verlag: 28.6.2014
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Informatik ► Software Entwicklung ► User Interfaces (HCI)
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• ISBN-10: 1-4832-9823-X / 148329823X
• ISBN-13: 978-1-4832-9823-8 / 9781483298238