The primary goals of remote sensing of satellites are extending their lifetime, improving their resolution, decreasing the cost and corresponding weight. Using the maximum power point tracking (MPPT) technique can help to achieve the primary goals, including decreasing the weight and the reduction of satellites cost. In this regard, this paper aims to optimize the MPPT technique while taking into account the uncertain change of environmental conditions, such as solar irradiation, ambient temperature, air mass angle, and the arrangement method of the cells to construct the solar array system's panels. The fuzzy logic controller (FLC) is investigated to modulate the pulse width modulation's duty cycle to control a boost DC-DC converter. As a result, the proposed FLC based MPPT technique achieves the primary goals. The modeling and simulation environment used to implement the suggested model, based multicrystal KC200GT PV modules, was MATLAB/Simulink R2022. Numerical findings highlight approximately 99.8% accuracy with a

0.02 s best response time of the mathematical modeling at different environmental conditions.