Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells
Cita com:
hdl:2117/22928
Document typeConference report
Defense date2013
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectPUMA 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.
CitationKunusch, 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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