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

Conference Paper · December 2009with11 Reads
DOI: 10.1109/IECON.2009.5415414 · Source: IEEE Xplore
Conference: Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Abstract
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.
    • "The control objective hence, is to maintain the oxygen excess ratio λ O 2 = 2. Many strategies have been discussed in contemporary literature for this control problem, the most prominent of which are linearization with a feedforward and feedback control [2], neural networks [4], model predictive control [5], [6] and sliding mode control [3], [7], [8]. While these solutions are effective in regulating the cathode air supply at a fixed level, system parameters can vary significantly with changes in stack temperature and membrane humidity. "
    [Show abstract] [Hide abstract] ABSTRACT: In this paper, we have applied sliding mode extremum seeking control for optimizing the net power output of a Polymer Electrolyte Membrane Fuel Cell (PEMFC). The output of a PEMFC is regulated by controlling the air, which is supplied through a compressor. The control objective is to ensure that the the oxygen excess ratio is maintained between 2 and 2.4, while the power consumed by the compressor is kept at minimum. The proposed control strategy is based on an improved extremum seeking control technique, based upon second order sliding mode control. This allows the controller to respond to sudden changes in load. Simulation results show the effectiveness of the applied control technique.
    Article · Jan 2012
    • "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]. In this paper we have proposed a cascade control strategy using second order sliding mode control (SOSMC) for PEMFC, using super twisting algorithm. "
    [Show abstract] [Hide abstract] 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
    • "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. "
    [Show abstract] [Hide abstract] 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
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