Solar power profile prediction for low earth orbit satellites
This paper presents the development of algorithms using MATLAB® codes to predict the in-orbit satellite power profile. Satellite power requirement is a crucial parameter for its in-orbit operation. In this case, it is best to identify the power profile which indicates the amount of power generate...
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Faculty of Mechanical Engineering, Universiti Teknologi Malaysia
2009
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Online Access: | http://psasir.upm.edu.my/id/eprint/16765/1/Solar%20power%20profile%20prediction%20for%20low%20earth%20orbit%20satellites.pdf http://psasir.upm.edu.my/id/eprint/16765/ http://jurnalmekanikal.fkm.utm.my/?id=No_29_June&pid=704 |
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my.upm.eprints.167652015-11-03T07:50:48Z http://psasir.upm.edu.my/id/eprint/16765/ Solar power profile prediction for low earth orbit satellites Chow, Kim Paw Varatharajoo, Renuganth This paper presents the development of algorithms using MATLAB® codes to predict the in-orbit satellite power profile. Satellite power requirement is a crucial parameter for its in-orbit operation. In this case, it is best to identify the power profile which indicates the amount of power generated over a time frame of an orbit. However, the determination of the satellite power profile requires substantial amount of efforts to compute and this is largely due to the complex numerical treatments. Orbital parameters are deemed to affect the determination of the satellite power profile. Therefore, a computer program has been written to solve all the governing equations leading to the satellite power profile prediction for an orbit and eventually for a year. The power profile validation was done analytically using the governing equations before the profile is generated through the computer codes. This work contributes greatly towards the small satellite (<100 kg) power sizing effort and eliminates the need of a costly commercial power sizing software. Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 2009-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16765/1/Solar%20power%20profile%20prediction%20for%20low%20earth%20orbit%20satellites.pdf Chow, Kim Paw and Varatharajoo, Renuganth (2009) Solar power profile prediction for low earth orbit satellites. Jurnal Mekanikal (28). pp. 1-15. ISSN 2289-3866; ESSN: 2289-3873 http://jurnalmekanikal.fkm.utm.my/?id=No_29_June&pid=704 |
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This paper presents the development of algorithms using MATLAB® codes to predict the in-orbit satellite power profile. Satellite power requirement is a crucial parameter for its in-orbit operation. In this case, it is best to identify the power profile which indicates the amount of power generated over a time frame of an orbit. However, the determination of the satellite power profile requires
substantial amount of efforts to compute and this is largely due to the complex numerical treatments. Orbital parameters are deemed to affect the determination of the satellite power profile. Therefore, a computer program has been written to solve all the governing equations leading to the satellite power profile prediction for an orbit and eventually for a year. The power profile validation was done analytically using the governing equations before the profile is generated through the computer codes. This work contributes greatly towards the small satellite (<100 kg) power sizing effort and eliminates the need of a costly commercial power sizing software. |
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Chow, Kim Paw Varatharajoo, Renuganth |
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Chow, Kim Paw Varatharajoo, Renuganth Solar power profile prediction for low earth orbit satellites |
author_facet |
Chow, Kim Paw Varatharajoo, Renuganth |
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Chow, Kim Paw |
title |
Solar power profile prediction for low earth orbit satellites |
title_short |
Solar power profile prediction for low earth orbit satellites |
title_full |
Solar power profile prediction for low earth orbit satellites |
title_fullStr |
Solar power profile prediction for low earth orbit satellites |
title_full_unstemmed |
Solar power profile prediction for low earth orbit satellites |
title_sort |
solar power profile prediction for low earth orbit satellites |
publisher |
Faculty of Mechanical Engineering, Universiti Teknologi Malaysia |
publishDate |
2009 |
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http://psasir.upm.edu.my/id/eprint/16765/1/Solar%20power%20profile%20prediction%20for%20low%20earth%20orbit%20satellites.pdf http://psasir.upm.edu.my/id/eprint/16765/ http://jurnalmekanikal.fkm.utm.my/?id=No_29_June&pid=704 |
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