A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.