COMPARISON ANALYSIS OF FUZZY LOGIC AND ANFIS CONTROLLER FOR MITIGATION OF HARMONICS

Now-a-days the problems occur due to power quality issues causes more impression in power system. The maximum issue in the supply system is harmonics. It occurs due to Non Linear Load (NLL) and it could be rectified by Active Filter. Many soft computing techniques are implemented to access the nonlinear model. In this paper, the proposed Artificial Neural Fuzzy Inference System (ANFIS) controller is used to eliminate the uncertainty in the supply system. The Space Vector Pulse Width Modulation (SVPWM) control scheme is used to generate the necessary pulses used for load compensation. The results are compared for both ANFIS and fuzzy logic controller (FLC) and simulation is designed in MATLAB Simulink and fuzzy logic toolbox to sustenance the feasibility of proposed ANFIS control strategies.