Title: Robust fuzzy sliding mode control for air supply on PEM fuel cell system

Authors: Zakaria Baroud; Atallah Benalia; Carlos Ocampo-Martinez

Addresses: LACoSERE Lab, Amar Telidji University, Laghouat, Algeria ' LACoSERE Lab, Amar Telidji University, Laghouat, Algeria ' Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Parc Tecnològic de Barcelona, C/Llorens i Artigas 4–6, 08028, Barcelona, Spain

Abstract: In this paper, an adaptive fuzzy sliding mode controller is employed for air supply on proton exchange membrane fuel cell (PEMFC) systems. The control objective is to adjust the oxygen excess ratio at a given set point in order to prevent oxygen starvation and damage to the fuel-cell stack. The proposed control scheme consists of two parts: a sliding mode controller (SMC) and fuzzy logic controller (FLC) with an adjustable gain factor. The SMC is used to calculate the equivalent control law and the FLC is used to approximate the control hitting law. The performance of the proposed control strategy is analysed through simulations for different load variations. The results indicated that the adaptive fuzzy sliding mode controller (AFSMC) is excellent in terms of stability and several key performance indices such as the integral squared error (ISE), the integral absolute error (IAE) and the integral time-weighted absolute error (ITAE), as well as the settling and rise times for the closed-loop control system.

Keywords: PEM fuel cell system; oxygen starvation; sliding mode control; fuzzy logic control; stability analysis.

DOI: 10.1504/IJMIC.2018.092123

International Journal of Modelling, Identification and Control, 2018 Vol.29 No.4, pp.341 - 351

Received: 02 Jun 2016
Accepted: 16 May 2017

Published online: 17 May 2018 *

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