Publication
Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells
Conference Article
Conference
American Control Conference (ACC)
Edition
2013
Pages
1144-1149
Doc link
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6579990&queryText%3Dkunusch
File
Authors
-
Kunusch, Cristian
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Castaños Luna, Fernando
Projects associated
ACOFC: Advanced Controllers and Observers Development for Fuel Cell based Generation Systems
MESPEM: Desarrollo de sistemas de control para la mejora de la eficiencia y la vida útil en sistemas basados en pilas de combustible PEM
PUMA MIND: Physical bottom Up multiscale Modelling for Automotive PEMFC Innovative performance and Durability optimization
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.
Categories
adaptive control, automation, control nonlinearities.
Author keywords
fuel cell, extremum seeking, hydrogen minimization, sliding modes
Scientific reference
C. Kunusch and F. Castaños. Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells, 2013 American Control Conference, 2013, Washington DC, pp. 1144-1149.
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