Artificial controlled neural network emulator for quasi resonant converter

Conventional controller used for the converter needs piecewise linearization. Classical control methods employed to design the control circuits for Quasi Resonant Converters are very sensitive to parameter variation. In this paper a Fuzzy and Neural controlled approach is presented with a Neural Network Emulator for identification. The Neural Network Emulator reproduces the converter behavior accurately. The Artificial controller regulates the output voltage by changing the switching frequency. The Artificial controlled Emulator is simulated and the output voltage regulation for load variations and supply changes for the QRC is plotted. . The model obtained is readily absorbed by MATLAB for analysis and design of both the open-and closed-loop configurations in fast speed. The simulation results proved the feasibility of using artificial control in controlling switched mode power supplies.