Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System

David Hernández-Torres (1, 2) , Delphine Riu (1) , Olivier Sename (3) , Florence Druart (4)

1 G2ELab - Laboratoire de Génie Electrique de Grenoble
2 GIPSA-lab - Grenoble Images Parole Signal Automatique
3 GIPSA-SLR - GIPSA - Systèmes linéaires et robustesse
4 LEPMI - Laboratoire d'Electrochimie et de Physico-chimie des Matériaux et des Interfaces

Abstract--In this paper several optimal control strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strategies are based on different control configurations involving the power converters associated to the hybrid source. Given certain desired performances, Linear Matrix Inequalities methods are used to solve the controller design problem that is written as an optimization problem with inequalities constraints. The solution to the optimization problem yields a simple PID controller with H∞ desired performance. For the several control strategies proposed, robustness is a primary issue. Time simulations and robustness analysis shows the effectiveness of the proposed strategies when compared with the classic control strategies used for this type of hybrid power generation system.

Domaines: Energie électrique

David Hernández-Torres, Delphine Riu, Olivier Sename, Florence Druart. Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System. IECON 2010 - 36th Annual Conference of the IEEE Industrial Electronics Society, Nov 2010, Phoenix, United States. ⟨10.1109/IECON.2010.5675231⟩. ⟨hal-00545093⟩