Fuzzy control for maximum power-point tracking of a photovoltaic system

This paper proposes a new T-S fuzzy method to deal with the power tracking problem of the power generating systems. First, a dynamic model of the PV system is developed which is subsequently converted into a Takagi-Sugeno (TS) model. Then, after leading to this exact model, a fuzzy controller is designed to obtain the MPP even during the variation of the climatic conditions. Based on the T-S fuzzy model, the fuzzy maximum power point tracking controller is designed by constructing fuzzy gain state feedback controller and an optimal reference model for the optimal PV output voltage, which corresponds actually to maximum power point (MPP).The controller gains are obtained by solving a set of linear matrix inequalities (LMIs). Finally, simulation results are given to illustrate the optimal tracking performance of the proposed fuzzy controller even in the case of abrupt changing climatic conditions.