The work presented in this study aims to develop an intelligent algorithm, based on fuzzy logic, to track the maximum power point (MPP) of a photovoltaic (PV) panel. Modelling and simulation steps of the PV panel are made by using the MATLAB/Simulink environment, before passing to the description of fuzzy logic MPP tracking (MPPT) algorithm. On an Arduino Mega 2560 controller board, a real‐time implementation of the MPPT algorithm by using Simulink Support Package for Arduino Hardware in MATLAB/Simulink was conducted to experimentally validate the preliminary results of simulations. The proposed work outlines also the solution to modify pulse‐width modulation frequency of Arduino when it is used with Simulink.

The objective of this article is to study experimentally optimizing of a PMSG wind turbine connected to a DC-DC converter (Boost) and a resistive load. For this, tests were conducted to determine the law of open loop control (power versus the duty cycle for different values of wind speed and load). The results showed that the power passes through a maximum point. In order to extract the maximum power, for different values of wind speeds and load, an MPPT control "Perturb and Observe" P & O has been implemented on a DSPACE 1104. The experimental results showed the performance of the method suggested.