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Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells

Author
Kunusch, C.; Castaños, F.
Type of activity
Presentation of work at congresses
Name of edition
2013 American Control Conference
Date of publication
2013
Presentation's date
2013
Book of congress proceedings
Proceedings of the 2013 American Control Conference
First page
1144
Last page
1149
Project funding
FP7-303419 Physical bottom Up Multiscale Modelling for Automotive PEMFC Innovative performance and Durability optimization
Repository
http://hdl.handle.net/2117/22928 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6579990&queryText%3Dkunusch Open in new window
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.
Citation
Kunusch, 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.
Keywords
adaptive control, automation, control nonlinearities PARAULES AUTOR: fuel cell, extremum seeking, hydrogen minimization, sliding modes

Participants

  • Kunusch, Cristian  (author and speaker )
  • Castaños Luna, Fernando  (author and speaker )