On the implementation of an adaptive extremum seeking algorithm for hydrogen minimization in PEM fuel cell based systems
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)
This work presents initial experimental results of an adaptive sliding-mode extremum seeker that minimizes the hydrogen consumption in a fuel cell based system. The extremum seeker is based on the classical steepest-descent method, the main challenge being the fact that the gradient of the objective function is unknown. The gradient is estimated by means of a sliding-mode adaptive estimator. The strategy is applied in experimental practical situations in a fuel cell test bench, this allows to asses the performance of the scheme as well as the difficulties that arise in real applications
CitationKunusch, C.; Castaños, F. On the implementation of an adaptive extremum seeking algorithm for hydrogen minimization in PEM fuel cell based systems. A: European Control Conference. "Control Conference (ECC), 2013 European". Zürich: 2013, p. 2501-2506.