Real-time implementation of a novel MPPT control based on the improved TOSMC using Fuzzy Logic strategy for photovoltaic systems

This research work focuses on the development of a novel MPPT controller for a photovoltaic (PV) system connected to a DC load through a DC‐DC boost converter. The proposed system integrates a Third-Order Sliding Mode Control (TOSMC) algorithm with a fuzzy inference system, forming a hybrid control scheme called Fuzzy-TOSMC. One of the key motivations behind this approach is that traditional PV control systems often require prior knowledge of the parameters of the system. The Fuzzy-TOSMC operates independently of the parameters of the model and does not require a voltage sensor for the MPPT control, simplifying both analysis and implementation. An experimental comparative study between the proposed Fuzzy-TOSMC and the conventional TOSMC method under similar operating conditions is tested successfully using a solar array simulator Chroma 62050H and a dSPACE 1202 device. Experimental results highlight the superiority of the proposed approach in dynamic response of around 63% lower than the one obtained with TOSMC and nearly a 60% decrease in error metrics under varying irradiance conditions.