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International Journal of Electrical and Computer Engineering Systems, Vol. 16 No. 5, 2025.

Original scientific paper

https://doi.org/10.32985/ijeces.16.5.6

An Improved MPPT Scheme for Photovoltaic Systems Using a Novel MRAC-FUZZY Controller

Mahbouba Brahmi ; Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Av.Taha Hussein,5 BP 56, 1008 Tunis, Tunisia. *
Afef Marai Ghanmi ; Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Av.Taha Hussein,5 BP 56, 1008 Tunis, Tunisia.
Hichem Hamdi ; Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Av.Taha Hussein,5 BP 56, 1008 Tunis, Tunisia.
Ben Regaya Chiheb ; Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Av.Taha Hussein,5 BP 56, 1008 Tunis, Tunisia.
Abderrahmen Zaafouri ; Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Av.Taha Hussein,5 BP 56, 1008 Tunis, Tunisia.

* Corresponding author.

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Abstract

This paper presents a novel and highly effective fuzzy model reference adaptive control for MPPT based on a boost converter. The design of Model-Referenced Adaptive Control (MRAC) and the adaptive gain selection are discussed. The adjustment of the adaptation gains by a fuzzy logic subsystem and a simplified fuzzy MRAC procedure are presented. The suggested algorithm is assessed through a comprehensive simulation in MATLAB/Simulink. Various scenarios and environmental conditions are considered to assess its robustness and adaptability. The results indicate that the suggested MRAC-Fuzzy MPPT control is extremely robust, with tracking efficiency that can reach 99.97%. Furthermore, it consistently operates the photovoltaic system at or around the MPP, effectively reducing oscillations, improving energy efficiency, and enhancing power production. Under real operating conditions, this new controller can be used for photovoltaic pumping applications.

Keywords

Photovoltaic System; MPPT; Fuzzy Model Reference Adaptive Control; Mit Rule;

Hrčak ID:

330858

URI

https://hrcak.srce.hr/330858

Publication date:

13.5.2025.

Visits: 349 *