Enhanced MPPT Performance in PV Based Water Pumping Systems Using Type-2 Fuzzy Super Twisting Control

In renewable energy applications, the development of advanced control strategies is essential to enhance system performance and accuracy. This study presents a photovoltaic (PV) panel-powered system designed for water pumping applications. The novelty of the article lies in the integration of a Type-2 Fuzzy Logic Controller (T2FLC) with a Super Twisting Control (STC) approach. This hybrid control structure aims to improve robustness and tracking precision under the same condition. Furthermore, a comparative analysis is conducted between the Incremental Conductance (IC) algorithm and the proposed STC-based method in terms of the same dynamic conditions and the aim is to determine dynamic behavior and maximum power point tracking (MPPT) performance of the PV system. Simulations are carried out the same conditions to evaluate the advantages and limitations of each control technique. The results demonstrate that the proposed control scheme offers improved performance in terms of stability, tracking speed, and reduced chattering, making it a promising solution for renewable energy-driven pumping systems.