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.


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.