Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells
Document typeConference report
Rights accessOpen Access
European Commisision's 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)
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.