Publication
On the implementation of an adaptive extremum seeking algorithm for hydrogen minimization in PEM fuel cell based systems
Conference Article
Conference
European Control Conference (ECC)
Edition
12th
Pages
2501-2506
Doc link
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6669787
File
Authors
-
Kunusch, Cristian
-
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
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.
Categories
adaptive control, automation, control nonlinearities.
Author keywords
fuel cell, extremum seeking, hydrogen minimization, sliding modes
Scientific reference
C. Kunusch and F. Castaños. On the implementation of an adaptive extremum seeking algorithm for hydrogen minimization in PEM fuel cell based systems, 12th European Control Conference, 2013, Zurich, Switzerland, pp. 2501-2506, IEEE.
Follow us!