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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
first_indexed 2025-08-06T11:04:04Z
last_indexed 2025-09-27T06:40:43Z
id cronfa70120
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spelling 2025-09-26T15:47:42.8432653 v2 70120 2025-08-06 Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat b8005be5ed1525e3f3d42a0ddf32b5b3 Nayim Ali Nayim Ali true false f206105e1de57bebba0fd04fe9870779 0000-0001-7366-9002 Anwar Ali Anwar Ali true false 2025-08-06 ACEM 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. Journal Article World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering 19 8 24 7 2025 2025-07-24 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2025-09-26T15:47:42.8432653 2025-08-06T12:01:41.9747020 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Nayim Ali 1 Anwar Ali 0000-0001-7366-9002 2 70120__34917__bd1229536a464a098270342bacc1d1d6.pdf 70120.pdf 2025-08-06T12:03:49.9974881 Output 746073 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng https://creativecommons.org/licenses/by/4.0/
title Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
spellingShingle Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
Nayim Ali
Anwar Ali
title_short Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
title_full Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
title_fullStr Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
title_full_unstemmed Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
title_sort Designing an Electronic Power Supply using Maximum Power Point Tracking for a CubeSat
author_id_str_mv b8005be5ed1525e3f3d42a0ddf32b5b3
f206105e1de57bebba0fd04fe9870779
author_id_fullname_str_mv b8005be5ed1525e3f3d42a0ddf32b5b3_***_Nayim Ali
f206105e1de57bebba0fd04fe9870779_***_Anwar Ali
author Nayim Ali
Anwar Ali
author2 Nayim Ali
Anwar Ali
format Journal article
container_title World Academy of Science, Engineering and Technology International Journal of Aerospace and Mechanical Engineering
container_volume 19
container_issue 8
publishDate 2025
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
active_str 0
description 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.
published_date 2025-07-24T05:25:47Z
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score 11.090009

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