MPPT of Dual-PV LLC Converter using Fuzzy ANFIS Hybrid Interface

This paper proposes a hybrid interface of Fuzzy logic and Adaptive Neuro-Fuzzy Interface System (ANFIS) for a fast closed-loop control to achieve maximum efficiency of a grid-tied phase-shifted dual-input LLC converter. The algorithm can extract maximum power from Photovoltaic (PV) panels under partial shading and other dynamic weather conditions. The fuzzy logic operates by generating the duty cycle required for the LLC primary switches whereas the ANFIS generates phase shift to regulate the power flow using both Pulse Width Modulation (PWM) and Phase Shift Modulation (PSM). Utilizing the input-output dataset of each PV panel, the ANFIS model is generated whereas the Fuzzy rules operate on the derivative of power to voltage. The controller has the flexibility to operate for a wider range of inputs and it defines the behavior of a complex system. The proposed MPPT controller with a grid-tied LLC converter is designed and verified in the MATLAB/Simulink platform.