Fuzzy Logic Implementation of Pem Fuel Cell Based Four Phase Interleaved Boost Converter

This paper implements the fuzzy logic control technique for the modeling of the PEM (Proton Exchange Membrane) fuel cell interfaced with a four-phase coupled IBC (Interleaved Boost Converter). In the modeling part of the PEM fuel cell, a fuzzy logic controller (FLC) is used to control, the flow rate of methane in the reformer and then output voltage of IBC is maintained constant by incorporating a FLC. The modeling, control and simulation is achieved for PEM fuel cell interfaced with four-phase coupled IBC. MATLAB simulink and fuzzy logic toolbox are used to check the proposed control algorithms.

[1]  Liuchen Chang,et al.  Simulation study on the membership functions of the basic fuzzy logic controller for electric vehicle propulsion systems , 1996, Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering.

[2]  Luca Sani,et al.  Cuk converter global control via fuzzy logic and scaling factors , 2000 .

[3]  Yi-Hua Liu,et al.  Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method , 2013 .

[4]  Kamal Al-Haddad,et al.  A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft , 2014, IEEE Transactions on Industrial Electronics.

[5]  R. Seyezhai,et al.  Modeling and design of fuel cell based two phase interleaved boost converter , 2011, 2011 1st International Conference on Electrical Energy Systems.

[6]  Chien-Hsuan Chang,et al.  A fuzzy-logic-controlled single-stage converter for PV-powered lighting system applications , 2000, IEEE Trans. Ind. Electron..

[7]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  R. Seyezhai.  Design and Computation of Energy Factor Parameters for an Interleaved Boost Converter , 2012 .

[9]  B N Alajmi,et al.  Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System , 2011, IEEE Transactions on Power Electronics.

[10]  S. Sivanagaraju,et al.  A Fuzzy Logic Based Two Inductor Boost Converter System , 2012 .

[11]  D. Sandeep Kashyap,et al.  Fuel Cell Distributed Generation Systems Using Fuzzy Logic Control , 2012 .

[12]  P. C. Sen,et al.  A new defuzzification method for fuzzy control of power converters , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).