Abstract: This study proposes an artificial-intelligence-based solution to interface Photovoltaic (PV) array with the three phase ac load and to deliver maximum power to the load. The maximum power delivery to the load is achieved by MPPT controller which employs Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed ANFIS-based MPPT offers an extremely fast dynamic response with great accuracy. The system consists of photovoltaic module, boost converter, Voltage Source Inverter (VSI) and ANFIS controller to control the duty cycle of boost converter switch as well as the modulation index of VSI. The entire proposed system has been modeled and simulated using MATLAB/SIMULINK Software. The simulation results show that the proposed ANFIS MPPT controller is very efficient, very simple and low cost.
T. Shanthi and A.S. Vanmukhil , 2013. ANFIS Controller Based MPPT Control of Photovoltaic Generation System. Research Journal of Applied Sciences, 8: 375-382.