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

In this article, a new approach is presented for achieving optimal efficiency of a grid-tied phase-shifted dual-input LLC converter, which involves a combination of Fuzzy logic and Adaptive Neuro-Fuzzy Interface System (ANFIS). The goal is to maximize the power extracted from Photovoltaic (PV) panels, even under challenging weather conditions like partial shading. The LLC primary switch duty cycle is determined by the Fuzzy logic element, whereas the ANFIS component produces phase shift to control power flow using Pulse Width Modulation (PWM) and Phase Shift Modulation (PSM). The ANFIS model is established based on the input-output information of each PV panel, while the Fuzzy rules operate on the power-to-voltage derivative. The controller can handle a wider range of inputs and defines the behavior of a complex system. The proposed system is validated using the MATLAB/Simulink platform, which demonstrates the effectiveness of the Maximum Power Point Tracking (MPPT) controller with a grid-tied LLC converter.