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Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat

Nayim Ali, Anwar Ali Orcid Logo

World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering, Volume: 19, Issue: 8

Swansea University Authors: Nayim Ali, Anwar Ali Orcid Logo

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Abstract

This paper looks at six maximum power point tracking techniques, including three conventional tracking methods (perturb and observe, incremental conductance, and constant voltage) and three intelligent tracking methods (fuzzy logic control, particle search optimization, and an artificial neural netw...

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Published in: World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering
Published: 2025
URI: https://cronfa.swan.ac.uk/Record/cronfa70120
Abstract: This paper looks at six maximum power point tracking techniques, including three conventional tracking methods (perturb and observe, incremental conductance, and constant voltage) and three intelligent tracking methods (fuzzy logic control, particle search optimization, and an artificial neural network). Using a solar module with an output voltage of 4.4 V and current of 400 mA at maximum power provides 1.76 W. The electronic power supply is designed to be fitted to one face of a 1U CubeSat chassis. Simulink was used to simulate the electronic power supply and calculate the efficiencies ofthe DC-DC converter and maximum power point tracking. The artificial neural network was determined to be the most efficient algorithm, with a DC-DC converter efficiency of 92.10% and a maximum power point tracking efficiency of 98.57%. This supplied an output power of 1.598 W from the electronic power supply to be used in the CubeSat system.
College: Faculty of Science and Engineering
Issue: 8