A new approach to design multi-loop control systems with multiple controllers
In this contribution, a new method to design multi-loop control systems with several controllers is proposed. Controllers are assumed to be players of a cooperative dynamic game, whose solution is obtained by multi-objective optimization (MOO). The MOO problem is solved by applying a genetic algorit...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Kapitel/Artikel Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
07 May 2007
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| In: |
45th IEEE Conference on Decision and Control, 2006
Year: 2006, Pages: 1828-1833 |
| DOI: | 10.1109/CDC.2006.377560 |
| Online-Zugang: | Verlag, kostenfrei registrierungspflichtig, Volltext: https://dx.doi.org/10.1109/CDC.2006.377560 Verlag, kostenfrei registrierungspflichtig, Volltext: https://ieeexplore.ieee.org/document/4177814/ 
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| Verfasserangaben: | A. Gambier, A. Wellenreuther, E. Badreddin |
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| 520 | |a In this contribution, a new method to design multi-loop control systems with several controllers is proposed. Controllers are assumed to be players of a cooperative dynamic game, whose solution is obtained by multi-objective optimization (MOO). The MOO problem is solved by applying a genetic algorithm and the final solution is found from an optimal Pareto set. As illustrative example, the control system design of a reverse osmosis desalination plant is used. Simulation results are satisfactory and show that in many cases, as for example this desalination plant, multi-loop control with several controllers, which have been obtained by join multi-objective optimization, perform as good as more complex controllers but with less implementation effort. | ||
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