Advanced ANFIS-MPPT control algorithm for sunshine photovoltaic pumping systems

Recently, the solar energy has become an alternative source of energy of great importance. Divers researches and efforts have been concentrated on the photovoltaic (PV) systems efficiency improvement and the accessibility to this technology. This paper presents an intelligent approach for the improvement and optimization of the PV system efficiency. A PV system topology incorporating maximum power point tracking controller (MPPT) is studied. In order to perform this goal a special interest was focused on the neuro-fuzzy algorithm based on the Sugeno inference model. This paper presents a detailed study and design of a MPPT controller to insure a high PV system performance which can be selected for practical implementation issue. A simulation work dealing with MPPT controller, a DC/DC CùK converter feeding a DC moto-pump is achieved. Significant extracted results are given to prove the validity of the proposed overall PV pumping system.