https://doi.org/10.1140/epjp/s13360-025-06264-6
Review
Maximum power point tracking based on improved sliding mode control
1
Laboratory of Applied Automation and Industrial Diagnostics (LAAID), Faculty of Science and Technology, Ziane Achour University, 17000, Djelfa, Algeria
2
Department of Electrical Engineering, Faculty of Science and Technology, University of Djelfa, P. O. B. 3117, Djelfa, Algeria
3
Department of Civil, Energetic, Environmental and Material Engineering, University of Reggio Calabria, 89122, Calabria, Italy
a
abdelkader.ouacel@univ-djelfa.dz
Received:
11
July
2024
Accepted:
26
March
2025
Published online:
25
April
2025
Solar energy is a renewable, sustainable and definitely inexhaustible supply of power, in contrast to fossil fuels. Photovoltaic systems provide the cleanest, economic production of energy. However, photovoltaic structures are faced with the problem of maximum power point tracking (MPPT) and the need to provide the best of techniques that will operate efficiently in continuously varying atmospheric conditions. A novel MPPT algorithm based on sliding mode control for photovoltaic systems is proposed in this paper, to efficiently track maximum power under changing climate conditions. The effectiveness of the proposed MPPT algorithm, based on sliding mode control, is substantiated by a comparative study with three other methods, namely P&O, GWO-based MPPT and PSO-based MPPT. On the basis of simulation results using MATLAB/Simulink software, the proposed method offers good tracking performance.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
