Journal of Electrical Engineering : Volume 19 / 2019 - Edition : 2

COMPARITIVE ANALYSIS OF FUZZY LOGIC AND ANN CONTROLLER FOR A SINGLE STAGE GRID CONNECTED PHOTOVOLTAIC SYSTEM WITH SOFT SWITCHING

Authors:
N.K.SAKTHIVEL
S.SUTHA
Domain:
building electrification
Abstract:
A fuzzy and Artificial Neural Network (ANN) based photovoltaic power generation for single phase micro grid inverter system with employing flyback transformer is presented in the present study. To obtain maximum power from renewable source, the researchers introduce a Maximum Power Point Tracking Algorithm with new sampling method. Fuzzy Logic Generated Space Vector Pulse Width Modulation (FSVPWM) closed loop control scheme is used to generate the suitable switching frequency to the inverter switches. The motive of the mamdhani fuzzy logic approach and back propagation based neural network is implemented to achieve high quality and reliable output, very low Total Harmonic Distortion (THD) with inductive load. Also THD of the inverter result is compared with Proportional Integral (PI) controller. The present proposed study is designed with the help of MATLAB/ Simulink and the real time hardware were designed for 2Kw rating.
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