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On the implementation of an adaptive extremum seeking algorithm for hydrogen minimization in PEM fuel cell based systems

Author
Kunusch, C.; Castaños, F.
Type of activity
Presentation of work at congresses
Name of edition
12th Biannual European Control Conference
Date of publication
2013
Presentation's date
2013
Book of congress proceedings
Control Conference (ECC), 2013 European
First page
2501
Last page
2506
Project funding
FP7-303419 Physical bottom Up Multiscale Modelling for Automotive PEMFC Innovative performance and Durability optimization
Repository
http://hdl.handle.net/2117/23661 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6669787 Open in new window
Abstract
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 as...
Citation
Kunusch, 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.
Keywords
adaptive control automation control nonlinearities Author keywords: fuel cell, extremum seeking, hydrogen minimization, sliding modes
Group of research
ACES - Advanced Control of Energy Systems

Participants

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