Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells
Tipus de documentText en actes de congrés
Data publicació2013
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjectePUMA MIND - Physical bottom Up Multiscale Modelling for Automotive PEMFC Innovative performance and Durability optimization (EC-FP7-303419)
ACOFC - Advanced Controllers and Observers Development for Fuel Cell based Generation Systems (EC-FP7-293876)
ACOFC - Advanced Controllers and Observers Development for Fuel Cell based Generation Systems (EC-FP7-293876)
Abstract
We present an adaptive sliding-mode extremum seeker that minimizes an unknown function that is subject to an unknown static constraint. The same algorithm can be applied when the static constraint is replaced by a dynamic one, provided that the dynamics possess strong stability properties. The application and feasibility study is focused on hydrogen consumption minimization in PEM fuel cell based systems.
CitacióKunusch, C.; Castaños, F. Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells. A: American Control Conference. "Proceedings of the 2013 American Control Conference". Washington: 2013, p. 1144-1149.
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