OPTIMIZED MODEL OF ANN USING COAC FOR LLC RESONANT PSFB DC-DC CONVERTER

Abstract

An LLC resonant circuit-based (Phase shifted full-bridge) PSFB dc-dc converter with an LC anti-resonant tank for improving the performance of pulse-frequency- modulation (PFM) is proposed with a new Hybrid controller (Continuous orthogonal ant colony (COAC) and (Artificial Neural Network) ANN). The resonant dc-dc converter, named as LLC- LC converter can extend a voltage regulation area below the unity  ain with a smaller frequency variation of PFM by the effect of the anti-resonant tank. This advantageous property contributes for protecting over-current in the case of the short-circuit load condition as well as the start-up interval in the designed band of switching frequency. The response time and accuracy is improved in the proposed system by implementing the hybrid system. The efficiency of the proposed system and the response is verified by simulating using MATLAB Simulink.