article · IFAC-PapersOnLine
The non-linear output of a photovoltaic (PV) panel under different irradiance and temperature values poses a challenge for the design of maximum power point trackers (MPPT). This paper presents a comparative study between three MPPT control techniques, one based on an artificial intelligence approach "Fuzzy Logic" and the other two based on conventional techniques "Incremental Conductance" and "Perturb & Observe" on the same photovoltaic system with the same static DC-DC converter of "Boost" type. Through this comparative study, insights into the effectiveness and performance differences among these control techniques are provided. A behavioral analysis of the three systems in terms of speed, accuracy, and stability has been established through a simulation under MATLAB/Simulink.
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DOI: 10.1016/j.ifacol.2024.07.551
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