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Development of Computational Fuzzy Controller for Smooth Speed Tracking Buck Converter Fed DC Motor
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In this paper, a fuzzy-genetic approach based controller for a buck converter is designed and modelled in Matlab/Simulink. Proposed controller uses a Takagi-Sugeno type fuzzy logic controller to regulate output dc voltage and a hysteresis current controller to force the input current to track a reference. Optimal values of fuzzy logic controller are determined by genetic algorithm. To indicate the steady state and transient performance, some simulation results are presented.
Keywords
Fuzzy Logic Controller (FLC), Buck Converter (BC), Genetic Algorithm (GA), Integral Absolute Error (IAE), Direct Current (DC).
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