Sliding Mode Controller for Pressure Regulation in PEM Fuel Cell

Mohamed Ali, A. Abudhahir, A. ManivannaBoopathi

Abstract


The regulation of reactants pressure and supply are prerequisite for the performance and prolong life of Proton Exchange Membrane Fuel Cell (PEMFC). The depleted supply of reactants may deteriorate the operation of PEMFC. Moreover, the large deviation of reactants pressure can cause severe damage to the stack. The main aim of this paper is to control the pressure of hydrogen at anode and oxygen at cathode side by maintaining hydrogen and oxygen flow rates at optimum levels during dynamic load conditions. Sliding Mode Controller (SMC) is employed to control the reactants pressure at set point under dynamic load change. The results reveal that SMC employed in PEMFC produce better response than the PI controller reported earlier.

Keywords


PEMFC; Pressure regulation;Hydrogen Flow Rate;Oxygen Flow Rate;SMC;

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References


Wang, Y., Chen, K., Mishler, J., Cho, S. and Adroher, X (2011). A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research. Applied Energy, 88(4): 981-1007.

Karnik, AY, Sun, J, Stefanopoulou, AG & Buckland, JH 2009, ‘Humidity and pressure regulation in a PEM Fuel Cell using a Gain-scheduled static feedback controller’, IEEE Transaction on control system technology, vol. 17, no. 2, pp. 283-297.

Pukrushpan, J.T.,Stefanopoulou,A.G., and Peng,H(2004).Control of fuel cell breathing, IEEE Control Systems Magazine, 24(2), 30–46.

Pukrushpan, J.,Stefanopoulou,A.,Varigonda,S.,Eborn,J., and Haugstetter,C(2006). Control-oriented model of fuel processor for hydrogen generation in fuelcell applications, Control Engineering Practice, 14(3): 277–293.

Rodatz,P.,Paganelli,G., and Guzella,L(2003).Optimization air supply control of a PEM Fuel Cell system, In: Proceedings of the 2003American control conference.

Pukrushpan, J.T.,Stefanopoulou,A.G., and Peng,H(2004).Control of fuelcell power systems: Principles, modeling and analysis and feedback design, In: Advances in industrial control. Berlin:Springer.

Markus Ozbek, Shen Wang, Matthias Marx, Dirk Soffker (2013). Modeling and control of a PEM fuel cell system: A practical study based onexperimental defined component behavior,Journal of Process Control, 23(3): 282–293.

Shen C, Cao GY, Zhu XJ and Sun XJ (2002).Nonlinear modeling and adaptive fuzzy control of MCFC stack, Journal of Process Control,12(8):831–839.

Schumacher JO, Gemmar P, Denne M,ZeddaaM, and Stueber M(2004).Control of miniature proton exchange membrane, fuel cells based on fuzzy logic, Journal of Power Sources,129(2):143–151.

Iwan LC, Stengel RF(2001). The application of neural networks to fuel processors for fuel-cell vehicles,IEEE Transactions on Vehicular Technology,50(1):125–143.

Almeida, P.E.M., and Simoes, M.G.(2005).Neural optimal control of PEM fuel cells with parametric CMAC networks. IEEE Transactions on Industry Applications, 41(1): 237–245.

Hamed Beirami, Ali Zargar Shabestari and Mohammad Mahdi Zerafat (2015).Optimal PID plus fuzzy controller design for a PEMfuel cell air feed system using the self-adaptivedifferential evolution algorithm, International Journal of Hydrogen Energy,40(30): 9422-9434.

Gruber.J.K, Doll.M and Bordons.C (2009). Design and experimental validation of a constrained MPC for the air feed of a fuel cell, Control Engineering Practice, 17: 874–885.

Alicia Arce, Alejandro J. del Real, Carlos Bordonsand Daniel R. Ramírez (2010). Real-Time Implementation of a Constrained MPC forEfficient Airflow Control in a PEM Fuel Cell, IEEE transactions on industrial electronics, 57(6):1892-1905.

Varigonda S and Kamat M (2006). Control of stationary and transportation fuel cell systems: Progress and opportunities, Computers and Chemical Engineering, 30(10-12): 1735-1748.

Larminie, J & Dicks, A 2000, ‘Fuel cell systems explained’, United Kingdom, John Wiley & Sons.

Gou B, Na W and Diong B (2010) Fuel Cells: Modelling, Control,

and Applications. Boca Raton: CRC Press.

Na W and Gou B (2007). Exact linearization based nonlinear control of PEM Fuel Cells, Proceedings of IEEE Power Engineering Society General Meeting, FL, USA, 24-28 June 2007, pp. 1-6.

Kunusch C, Puleston P and Mayosky M (2012). Sliding-Mode Control of PEM Fuel Cells. Springer-Verlag London.

BoopathiAMand Abudhahir A (2016). Design of Grey-Verhulst Sliding Mode Controller for Antilock Braking System, International Journal of Control, Automation, and Systems, 14(3):763-772.

BoopathiAMand Abudhahir A (2016). Adaptive Fuzzy Sliding Mode Controller for wheel slip control in Antilock Braking System, Journal of Engineering Research,4(2): 132-150.




DOI: http://dx.doi.org/10.22385/jctecs.v15i0.236