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Fuzzy Logic Controller Optimized by BBO for Decentralized Source Based on a SOFC

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This paper will investigate the efficiency of an optimal Fuzzy Logic Controller (FLC) for a decentralized source which is established on the basis of a Solid Oxide Fuel Cell (SOFC) that is linked to the electrical network through a voltage inverter and a boost converter. To serve the purpose of this research, a Biogeography Based Optimization (BBO) is applied in order to adjust the parameters of the membership functions (the centers and the widths of the gaussian membership functions in inputs and output) for the purpose of improving the efficacy of traditional fuzzy logic controller. The given control methods have proved to be effective drawing from simulation results, and show that fuzzy logic controller tuned by biogeography based optimization is better and more robust than the traditional fuzzy logic controller for decentralized source based on a SOFC.
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Solid Oxide Fuel Cells; Biogeography Based Optimization; Fuzzy Logic Controller

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