Conference Paper

Second order sliding mode control of the moto-compressor of a PEM fuel cell air feeding system, with experimental validation

Lab. des Signaux et Syst., Univ. Paris Sud-P11, Gif-sur-Yvette, France
DOI: 10.1109/IECON.2009.5415414 Conference: Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Source: IEEE Xplore


Fuel cells are electrochemical devices that convert the chemical energy of a gaseous fuel directly into electricity. They are widely regarded as potential future stationary and mobile power sources. The response of a fuel cell system depends on the air and hydrogen feed, flow and pressure regulation, and, heat and water management. In this paper, the study is concentrated on the air subsystem that feeds the fuel cell cathode with oxygen. An IP control, a RST regulator and a higher order sliding mode control, super-twisting algorithm, with variable gains, have been designed and validated experimentally to control the air flow of the moto-compressor system, composed of a DC motor driving a volumetric compressor of type piston, designed to feed a 500 W fuel cell with air. Experimental results show better performance with the sliding mode control, especially when dealing with a delayed air flow sensor response.

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    • "Hence precise control of moto-compressor, which supplies air to the fuel cell, is important in order to optimize the net output power. In the last few years, many control strategies have been proposed for control of the moto-compressor of the PEMFCs, notable among them are linearizing at an operating point with a feedforward and feedback control [1], neural networks [2], model predictive control [3], [4] and sliding mode control [5], [6], [7]. "
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    ABSTRACT: This paper presents a cascade control of the moto-compressor of a Polymer Electrolyte Membrane Fuel Cell (PEMFC). The control objective is to optimize the net power by maintaining the oxygen excess ratio between 2 and 2.4. The proposed control strategy is based on two cascaded super twisting second order sliding mode controllers (Fig.1), which regulate the moto-compressor supplying air to the cathode side of the fuel cell. Simulation results show that the proposed controller has a good transient performance under load variations and parametric uncertainties.
    Full-text · Article · Dec 2011
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    • "From the automatic control point of view, a fuel-cell-based (FCB) system is a nonlinear dynamic plant, with multiple inputs , multiple outputs, variables strongly coupled, model uncertainty and incidence of external disturbances. In this context , a topic that deserves special attention is the oxygen stoichiometry control [1] [2] [3]. If the oxygen flow at the cathode of a fuel cell is too low, it produces hot spots on the polymeric membrane, decrementing the cell power due to the lack of reactant in the triple contact areas. "
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    ABSTRACT: This paper presents the oxygen stoichiometry control problem of proton exchange membrane (PEM) fuel cells and introduces a solution through an optimal control methodology. Based on the study of a non-linear dynamical model of a laboratory PEM fuel cell system and its associated components (air compressor, humidifiers, line heaters, valves, etc.), a control strategy for the oxygen stoichiometry regulation in the cathode line is designed and tested. From a linearised model of the system, an LQR/LQG controller is designed to give a solution to the stated control problem. Experimental results show the effectiveness of the proposed controllers design.
    Full-text · Article · May 2011 · Journal of Power Sources
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    ABSTRACT: This paper is focused on the control of air-feed system of Polymer Electrolyte Membrane Fuel Cell (PEMFC). This system regulates the air entering in the cathode side of the fuel cell. The control objective is to maintain optimum net power output by regulating the oxygen excess ratio in its operating range, through the air compressor. This requires controllers with a fast response time in order to avoid oxygen starvation during load changes. The problem is addressed using a robust nonlinear second order sliding mode controller in cascaded structure. The controller is based on sub-optimal algorithm, which is known for its robustness under disturbances and uncertainties. The controller performance is validated through Hardware-In-Loop (HIL) simulation based on a commercial twin screw air compressor and a real time fuel cell emulation system. The simulation results show that the controller is robust and has a good transient performance under load variations and parametric uncertainties.
    No preview · Article · Apr 2013 · Applied Energy
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