دانلود Simulation and implementation of a 300 watt, cascade gama-LC resonant converter

Abstract

In this paper a cascade Г- LC  resonant power converter on base of a hybrid controller is introduced. To control the output voltage of converter, Artificial  Neural  Networks  and  PID  classic  controllers  are combined.  A   multi-layer  feed-forward  artificial  neural network  is  employed  to  achieve  real-time  control.  The PID classic controller regulates the voltage on base of an Online  PWM  process  while  The  ANN  controller  changes  the switching frequency to maximize the voltage gain and consequently  to  increase  the  efficiency  of  converter.  The resulted trained ANN was tested on an ideal simulated model  of  the  converter  for  fine  tuning.  A  prototype  was designed and implemented on base of the proposed controller and was tested experimentally. Comparison between  simulation  and  experimental  results  verified  the proposed hybrid controller.