Optimal control of a reverse osmosis desalination plant using multi-objective optimization
In this contribution, the control of a reverse osmosis desalination plant by using an optimal multi-loop approach is presented. Controllers are assumed to be players of a cooperative game, whose solution is obtained by multi-objective optimization (MOO). The MOO problem is solved by applying a genet...
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| Main Authors: | , , |
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| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
2006
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| In: |
IEEE International Symposium on Computer-Aided Control Systems Design, 2006
Year: 2006, Pages: 1368-1373 |
| DOI: | 10.1109/CACSD-CCA-ISIC.2006.4776841 |
| Online Access: | Verlag, kostenfrei registrierungspflichtig, Volltext: https://dx.doi.org/10.1109/CACSD-CCA-ISIC.2006.4776841 Verlag, kostenfrei registrierungspflichtig, Volltext: https://ieeexplore.ieee.org/abstract/document/4776841 |
| Author Notes: | A. Gambier, A. Wellenreuther, E. Badreddin |
MARC
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| 520 | |a In this contribution, the control of a reverse osmosis desalination plant by using an optimal multi-loop approach is presented. Controllers are assumed to be players of a cooperative 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 this Pareto set. For the reverse osmosis plant a control scheme consisting of two PI control loops are proposed. Simulation results show that in some 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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