A fuzzy logic control scheme for a solar photovoltaic system for a maximum power point tracker

Many maximum power point (MPP) tracking techniques for photovoltaic systems have been developed to maximize the produced energy and many of these are well established in the literature. These techniques vary in many aspects such as simplicity, convergence speed, digital or analogue implementation, sensors required, cost and range of effectiveness. This paper proposes an artificial intelligence-based fuzzy logic control scheme for the MPP tracking of a solar photovoltaic system under variable temperature and insolation conditions. The method uses a fuzzy logic controller (FLC) applied to a dc–dc converter device. The different steps of the design of this controller are presented together with its simulation. Simulation results are compared with those obtained by the perturbation and observation controller. The results show that the FLC exhibits a much better behaviour.

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