In this paper, we display the strategy of extracting data from a stand-alone photovoltaic panel to program the maximum power point tracking controller based on fuzzy logic method to optimize the performance of the photovoltaic framework. The acquisition of photovoltaic information makes it possible to determine the input and output speech universe of MPPT controller based on fuzzy logic. This method offers the advantage of adapting to nonlinear systems without requiring a complex mathematical model. In addition, it makes it possible to improve the performance of the photovoltaic system both in dynamic mode and in steady state. In order to further improve the performance of this method, an asymmetric membership function concept is proposed through the study of the dynamic behavior of the photovoltaic system. Compared to the symmetric method, the controller based on asymmetric fuzzy logic achieves higher maximum power and better tracking precision of the maximum power point. This technology is crucial to maximizing the efficiency of photovoltaic panels, which is essential as solar energy is increasingly sought after as a clean and renewable energy.