Comparison of an Optimized Fractional Order Fuzzy and Fuzzy Controllers Based MPPT using PSO for Photovoltaic Applications

Abstract

This paper presents comparison of an improved MPPT controller using particle swarm optimization (PSO) tuned fractional order fuzzy logic controller (FO-FLC) and conventional fuzzy logic controller for photovoltaic applications. The optimization was carried out in two steps: the first step compute optimal values of scaling factors and fractional operator while the second step optimize Controller output membership functions. The optimization design objective is to minimize Root Mean of Squared Error (RMSE) between a measured power and desired maximum power. The optimal fractional operator shortens the tracking time and eliminate oscillations around MPP. The evaluation of the performance of the proposed controller and the simulations were carried out and the results shows that the FO-FLC provides better performance in terms of tracking speed and accuracy at different atmospheric conditions.