Disturbance-Observer-Based Control for Air Management of PEM Fuel Cell Systems via Sliding Mode Technique

• Published in: IEEE transactions on control systems technology Vol. 27; no. 3; pp. 1129 - 1138
• Main Authors: Liu, Jianxing, Gao, Yabin, Su, Xiaojie, Wack, Maxime, Wu, Ligang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air compressors; Algorithms; Atmospheric modeling; Cathodes; Controllers; Disturbance observer; Feed systems; Flow velocity; Fuel cells; hardware-in-loop (HIL); Manifolds; Nitrogen; Observers; Oxygen; polymer electrolyte membrane fuel cell (PEMFC) system; Proton exchange membrane fuel cells; Robust control; Sliding mode control; State observers; Transient performance
• ISSN: 1063-6536; 1558-0865
• DOI: 10.1109/TCST.2018.2802467

In this paper, a model-based robust control is proposed for the polymer electrolyte membrane fuel cell air-feed system, based on the second-order sliding mode algorithm. The control objective is to maximize the fuel cell net power and avoid the oxygen starvation by regulating the oxygen excess ratio to its desired value during fast load variations. The oxygen excess ratio is estimated via an extended state observer (ESO) from the measurements of the compressor flow rate, the load current, and the supply manifold pressure. A hardware-in-loop test bench, which consists of a commercial twin screw air compressor and a real-time fuel cell emulation system, is used to validate the performance of the proposed ESO-based controller. The experimental results show that the controller is robust and has a good transient performance in the presence of load variations and parametric uncertainties.