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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...

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Detalles Bibliográficos
Autores principales: Raigoza, Karla, Sands, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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