Optimization with Adaptive Fuzzy logic controller of Photovoltaic pumping System

Abstract

In this paper, an application of adaptive fuzzy logic controller (AFLC) to a photovoltaic pumping system is presented. A comparison of results obtained with AFLC and with those obtained with classical control Perturb & observ. (P&O) is made. For the subsystem pumping, we use the model expresses the water flow output (Q) directly as a function of the electrical power input (P) to the moto-pump, for different total heads. The pumped water is used to satisfy the domestic needs of a family during two different days with an example of profile insolation. The results obtained by simulation using Matlab/Simulink are presented.