A novel MPPT Algorithm Based on MRAC-FUZZY Controller for Solar Photovoltaic Systems
Abstract
A novel and extremely effective fuzzy Model Reference Adaptive Control (MRAC) based on Maximum Power Point Tracking (MPPT) with a boost converter is presented in this study. It goes into detail on the adaptive gain selection procedure and MRAC design. The paper proposes a simplified fuzzy MRAC process and describes the adaptation gains adjustment using a Fuzzy Logic (FL) subsystem. To test the durability and flexibility of the suggested approach, extensive simulations in MATLAB/Simulink are conducted, considering a variety of scenarios and environmental variables. Findings demonstrate the extreme robustness of the MRAC-Fuzzy MPPT control, with up to 99.98% tracking efficiency. It also keeps the photovoltaic systems operating at or near the Maximum Power Point (MPP), effectively reducing oscillations, improving energy efficiency, and boosting power production.
© 2025 Brahmi Mahbouba, Marai Afef, Hamdi Hichem, Ben Regaya Chiheb, Zaafouri Abderrahmen, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.