Development of Computational Fuzzy Controller for Smooth Speed Tracking Buck Converter Fed DC Motor

摘要

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.