The article addresses the LPV control of a Polymer Electrolyte Membrane Fuel Cell (PEMFC) facing oxygen stoichiometry regulation. In order to optimize efficiency, PEMFCs require reliable control systems ensuring stability and performance, as well as robustness to model uncertainties and external perturbations. On the other hand, PEMFC systems present highly nonlinear behaviors that demand nonlinear and/or adaptive control strategies to achieve high performance in the entire operating range. Here, a linear parameter varying (LPV) gain scheduled control is proposed. The control is based on a piecewise affine LPV representation of the PEMFC, a model that can be available in practice. The control strategy is applied to a couple of experimental practical situations in a laboratory fuel cell system, to evaluate not only the performance but also the difficulties that can arise in real applications.


adaptive control, automation, control system synthesis, control theory.

Author keywords

LPV control, scheduling control, PEM fuel cells, experimental application

Scientific reference

F. Bianchi, C. Kunusch, C. Ocampo-Martínez and R. Sánchez Peña. On the implementation of gain-scheduled LPV control for oxygen stoichiometry regulation in PEM fuel cells, 52nd IEEE Conference on Decision and Control, 2013, Florence, pp. 990-995.