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Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance
Over the past four decades, space debris has been identified as a growing hazard for near-Earth space systems. With limited access to space debris tracking databases and only recent policy advancements made to secure a sustainable space environment and mission architecture, this manuscript aims to e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503929/ https://www.ncbi.nlm.nih.gov/pubmed/36146415 http://dx.doi.org/10.3390/s22187066 |
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author | Raigoza, Karla Sands, Timothy |
author_facet | Raigoza, Karla Sands, Timothy |
author_sort | Raigoza, Karla |
collection | PubMed |
description | Over the past four decades, space debris has been identified as a growing hazard for near-Earth space systems. With limited access to space debris tracking databases and only recent policy advancements made to secure a sustainable space environment and mission architecture, this manuscript aims to establish an autonomous trajectory maneuver to de-orbit spacecrafts back to Earth using collision avoidance techniques for the purpose of decommissioning or re-purposing spacecrafts. To mitigate the risk of colliding with another object, the spacecraft attitude slew maneuver requires high levels of precision. Thus, the manuscript compares two autonomous trajectory generations, sinusoidal and Pontragin’s method. In order to determine the Euler angles (roll, pitch, and yaw) necessary for the spacecraft to safely maneuver around space debris, the manuscript incorporates way-point guidance as a collision avoidance approach. When the simulation compiled with both sinusoidal and Pontryagin trajectories, there were differences within the Euler angle spacecraft tracking that could be attributed to the increased fuel efficiency by over five orders of magnitude and lower computation time by over 15 min for that of Pontryagin’s trajectory compared with that of the sinusoidal trajectory. Overall, Pontryagin’s method produced an autonomous trajectory that is more optimal by conserving 37.9% more fuel and saving 40.5% more time than the sinusoidal autonomous trajectory. |
format | Online Article Text |
id | pubmed-9503929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95039292022-09-24 Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance Raigoza, Karla Sands, Timothy Sensors (Basel) Article Over the past four decades, space debris has been identified as a growing hazard for near-Earth space systems. With limited access to space debris tracking databases and only recent policy advancements made to secure a sustainable space environment and mission architecture, this manuscript aims to establish an autonomous trajectory maneuver to de-orbit spacecrafts back to Earth using collision avoidance techniques for the purpose of decommissioning or re-purposing spacecrafts. To mitigate the risk of colliding with another object, the spacecraft attitude slew maneuver requires high levels of precision. Thus, the manuscript compares two autonomous trajectory generations, sinusoidal and Pontragin’s method. In order to determine the Euler angles (roll, pitch, and yaw) necessary for the spacecraft to safely maneuver around space debris, the manuscript incorporates way-point guidance as a collision avoidance approach. When the simulation compiled with both sinusoidal and Pontryagin trajectories, there were differences within the Euler angle spacecraft tracking that could be attributed to the increased fuel efficiency by over five orders of magnitude and lower computation time by over 15 min for that of Pontryagin’s trajectory compared with that of the sinusoidal trajectory. Overall, Pontryagin’s method produced an autonomous trajectory that is more optimal by conserving 37.9% more fuel and saving 40.5% more time than the sinusoidal autonomous trajectory. MDPI 2022-09-19 /pmc/articles/PMC9503929/ /pubmed/36146415 http://dx.doi.org/10.3390/s22187066 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Raigoza, Karla Sands, Timothy Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title | Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title_full | Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title_fullStr | Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title_full_unstemmed | Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title_short | Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance |
title_sort | autonomous trajectory generation comparison for de-orbiting with multiple collision avoidance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503929/ https://www.ncbi.nlm.nih.gov/pubmed/36146415 http://dx.doi.org/10.3390/s22187066 |
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