CHF115.00
Download est disponible immédiatement
A real-time system is a complex system which is an integral part
of an industrial or experimental system, a vehicle or a
construction machine. The peculiarity of these systems is that they
are driven by real-time targets in distributed environments.
Command-control for Real-time Systems presents the calculation of
correction for industrial systems of different physical natures,
their implementation on real-time target industrial systems
(PLC-SCADA, embedded systems with distributed networks, Networked
Control Systems) and their validation by simulation. It optimizes
industrial processes by the use of automatic tools, industrial
computing and communications networks and aims to successively
integrate new control laws (linear, nonlinear and fuzzy
controllers) so that users can leverage the power of engineering
science as an automatic service process optimization while
maintaining their high maintainability facilities.
Contents
Introduction.
Modeling Tools, Sébastien Cabaret and Mohammed
Chadli.
Control Tools, Mohammed Chadli and Hervé Coppier.
Application to Cryogenic Systems, Marco Pezzetti, Hervé
Coppier and Mohammed Chadli.
Applications to a Thermal System and to Gas Systems,
Sébastien Cabaret and Hervé Coppier.
Application to Vehicles, Elie Kafrouni and Mohammed
Chadli.
Real-time Implementation, Marco Pezzetti and Hervé
Coppier.
About the Authors
Mohamed Chadli is a senior lecturer and research supervisor at
the University of Picardie Jules Verne (UPJV) in France. His main
research interests lie in robust control, the diagnosis and fault
tolerant control of polytopic systems and applications for
automobiles. He is a senior member of the IEEE, and Vice President
of the AAI Club as part of SEE-France. He is the author/co-author
of 3 books, book chapters and more than 100 articles published in
international journals and conferences.
Hervé Coppier is a lecturing researcher at ESIEE-Amiens in
France. He has collaborated with industrialists in the field of
automation and industrial computing, particularly with CERN, and
has spearheaded various international European projects.
Auteur
Mohamed Chadli is a senior lecturer and research supervisor at the University of Picardie Jules Verne (UPJV) in France. His main research interests lie in robust control, the diagnosis and fault tolerant control of polytopic systems and applications for automobiles. He is a senior member of the IEEE, and Vice President of the AAI Club as part of SEE-France. He is the author/co-author of 3 books, book chapters and more than 100 articles published in international journals and conferences. Hervé Coppier is a lecturing researcher at ESIEE-Amiens in France. He has collaborated with industrialists in the field of automation and industrial computing, particularly with CERN, and has spearheaded various international European projects.
Résumé
A real-time system is a complex system which is an integral part of an industrial or experimental system, a vehicle or a construction machine. The peculiarity of these systems is that they are driven by real-time targets in distributed environments.
Command-control for Real-time Systems presents the calculation of correction for industrial systems of different physical natures, their implementation on real-time target industrial systems (PLC-SCADA, embedded systems with distributed networks, Networked Control Systems) and their validation by simulation. It optimizes industrial processes by the use of automatic tools, industrial computing and communications networks and aims to successively integrate new control laws (linear, nonlinear and fuzzy controllers) so that users can leverage the power of engineering science as an automatic service process optimization while maintaining their high maintainability facilities.
Contents
About the Authors
Mohamed Chadli is a senior lecturer and research supervisor at the University of Picardie Jules Verne (UPJV) in France. His main research interests lie in robust control, the diagnosis and fault tolerant control of polytopic systems and applications for automobiles. He is a senior member of the IEEE, and Vice President of the AAI Club as part of SEE-France. He is the author/co-author of 3 books, book chapters and more than 100 articles published in international journals and conferences.
Hervé Coppier is a lecturing researcher at ESIEE-Amiens in France. He has collaborated with industrialists in the field of automation and industrial computing, particularly with CERN, and has spearheaded various international European projects.
Contenu
Chapter 1. Introduction 1
Chapter 2. Modeling Tools 7
Sébastien CABARET and Mohammed CHADLI
2.1. Introduction 7
2.2. Models 9
2.2.1. Knowledge models 9
2.2.2. Behavioral models 11
2.3. The classic parametric identification methods 14
2.3.1. Graphic methods 14
2.3.2. Algorithmic methods 15
2.3.3. Validation and estimation of the model identified 19
2.4. Multi-model approach 23
2.4.1. Introduction 23
2.4.2. Techniques for obtaining multi-models 23
2.5. Bibliography 40
Chapter 3. Control Tools 43
Mohammed CHADLI and Hervé COPPIER
3.1. Linear controls 43
3.1.1. The PID corrector 43
3.1.2. The Smith predictor 44
3.1.3. Predictive functional control 49
3.1.4. Generalized predictive control 55
3.1.5. The RST controller 60
3.1.6. Implementation of the advance algorithms on a programmable logic controller: results 63
3.2. Multi-model control 82
3.2.1. Introduction 82
3.2.2. Stability analysis 83
3.2.3. State feedback control 86
3.2.4. Reconstructed state feedback control 90
3.2.5. Static output feedback control 93
3.2.6. Conclusion 97
3.3. Bibliography 98
Chapter 4. Application to Cryogenic Systems 103
Marco PEZZETTI, Hervé COPPIER and Mohammed CHADLI
4.1. Introduction 103
4.1.1. Cryogenics and its applications at CERN 103
4.1.2. Some basics about cryogenics 109
4.2. Modeling and control of a cryogenic exchanger for the NA48 calorimeter at CERN 112
4.2.1. Description of the cryogenic installations in the NA48 calorimeter 115
4.2.2. Thermal model 118
4.2.3. The TDC (Time Delay Control) corrector: application to a liquid-krypton cryogenic exchanger 120
4.3. Modeling and control of the cryogenics of the ATLAS experiment at CERN 128
4.3.1. Context and objectives of the study 128
4.3.2. Process of identification of cryogenic systems 130
4.3.3. Experimental protocol of parametric identification 136
4.3.4. Mono-variable system 142
4.3.5. Compensation for the delay with a Smith controller based on the PI corrector UNICOS 149
4.3.6. Multi-variable system 151
4.4. Conclusion 158
4.4.1. Motivations 159
4.4.2. Main contributions 160
4.5. Appendices 160
4.5.1. Appendix A 160
4.6. Bibliography 164
Chapter 5. Applications to a Thermal System and to Gas Systems 165
Sébastien CABARET and Hervé COPPIER
5.1. Advanced control of the steam temperature on exiting a superheater at a coal-burning power plant 165
5.1.1. The issue 165
5.1.2. The internal model corrector (IMC) 166
5.1.3. Multi-order regulator: 4th-order IMC 169
5.1.4. Results 171
5.2. Application to gas systems 174
5.2.1. The gas systems 174
5.2.2. T…