A Fuzzy Logic Based Maximum Power Point Tracking of PV Systems Supplying Remote Sensing Devices of Two Units Cube Satellite Applications

Document Type : Original Article


1 Electronics and communication Engineering, Alexandria higher Institute of Engineering & Technology (AIET), Egypt

2 Electrical Engineering Department, Faculty of Engineering-Kafrelsheikh University, Kafr El-Sheikh, Egypt

3 Mechatronics Department, Alexandria higher Institute of Engineering &Technology


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.



Volume 47, Issue 3
(issued on 1/7/2024 in 4 Parts: Part (1): Electrical Engineering, Part (2) Mechanical Engineering, Part (3): Civil Engineering, Part (4): Architectural Engineering.
July 2024
Pages 337-353