DESIGN, SIMULATION AND IMPLEMENTATION OF A FUZZY-BASED MPP TRACKER UNDER VARIABLE INSOLATION AND TEMPERATURE CONDITIONS

A new microprocessor based fuzzy maximum power point tracker (MPPT) for photovotaic applications under different thermal and insolation conditions is proposed. The photovoltaic system includes a solar panel, a fuzzy MPPT(to compute the optimal duty cycle) and a resistive load. Fuzzy controller input parameters are dP/dI and its variations (to improve accuracy) as well as the variation of a converter duty cycle (to improve dynamic characteristics). Theoretical and experimental results demonstrate fine performance as compared to the usual PV systems with direct connections of solar panel and load. The main contribution of this paper is the inclusion of temperature variations in the MPPT algorithm.