Comparative Study on Flyback Converter with PID Controller and Neural Network Controller

Abstract

A PID controller is extensively used in many fields because of its structure is very simple and can be controlled easily since modern advanced applications and industrial activities or processes demand to solve more complicated problems and nonlinearities. The conventional PID controller cannot meet these requirements. Neural network has a greater capability to cope with the demands of changing environment. Any continuous function can be accurately approximated using neural network so it has acquired a greater attention in the field of process control. This papers analyzes the performance of closed loop control of flyback converter using the traditional PID controller and adaptive neural network for varying load and source condition which could be used in renewable power conversion applications.