Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers
Advances in the Astronautical Sciences 2020 First IAA/AAS SciTech Forum on Space Flight Mechanics and Space Structures and Materials Conference, volume 170 The number of space objects will grow several times in a few years due to the planned launches of constellations of thousands microsatellites. I...
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| creator | Gremyachikh, Leonid Dubov, Dmitrii Kazeev, Nikita Kulibaba, Andrey Skuratov, Andrey Tereshkin, Anton Ustyuzhanin, Andrey Shiryaeva, Lubov Shishkin, Sergej |
| description | Advances in the Astronautical Sciences 2020 First IAA/AAS SciTech
Forum on Space Flight Mechanics and Space Structures and Materials
Conference, volume 170 The number of space objects will grow several times in a few years due to the
planned launches of constellations of thousands microsatellites. It leads to a
significant increase in the threat of satellite collisions. Spacecraft must
undertake collision avoidance maneuvers to mitigate the risk. According to
publicly available information, conjunction events are now manually handled by
operators on the Earth. The manual maneuver planning requires qualified
personnel and will be impractical for constellations of thousands satellites.
In this paper we propose a new modular autonomous collision avoidance system
called "Space Navigator". It is based on a novel maneuver optimization approach
that combines domain knowledge with Reinforcement Learning methods. |
| doi_str_mv | 10.48550/arxiv.1902.02095 |
| format | Article |
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Forum on Space Flight Mechanics and Space Structures and Materials
Conference, volume 170 The number of space objects will grow several times in a few years due to the
planned launches of constellations of thousands microsatellites. It leads to a
significant increase in the threat of satellite collisions. Spacecraft must
undertake collision avoidance maneuvers to mitigate the risk. According to
publicly available information, conjunction events are now manually handled by
operators on the Earth. The manual maneuver planning requires qualified
personnel and will be impractical for constellations of thousands satellites.
In this paper we propose a new modular autonomous collision avoidance system
called "Space Navigator". It is based on a novel maneuver optimization approach
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Forum on Space Flight Mechanics and Space Structures and Materials
Conference, volume 170 The number of space objects will grow several times in a few years due to the
planned launches of constellations of thousands microsatellites. It leads to a
significant increase in the threat of satellite collisions. Spacecraft must
undertake collision avoidance maneuvers to mitigate the risk. According to
publicly available information, conjunction events are now manually handled by
operators on the Earth. The manual maneuver planning requires qualified
personnel and will be impractical for constellations of thousands satellites.
In this paper we propose a new modular autonomous collision avoidance system
called "Space Navigator". It is based on a novel maneuver optimization approach
that combines domain knowledge with Reinforcement Learning methods.</description><subject>Computer Science - Learning</subject><subject>Computer Science - Systems and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz7tOwzAYBWAvDKjwAEz4BZL6mtjdqqhcpJYOZI9-Oza1lMaREyLg6Xuh09EZzpE-hJ4oyYWSkiwh_YQ5p5qwnDCi5T3afQ5gHf6AOXzBFNMKA65j7LCPCU8Hh_fDFI7hD6YQexw9rmLXhfFS1nMMLfTn9Q569z27ND6gOw_d6B5vuUD1y6au3rLt_vW9Wm8zKEqZ6cKIkktipZJMKOAF0xxsIazgwrVaS0op59Jo7T1rS6-MpYaVxCjGWuP5Aj3_3149zZDCEdJvc3E1Vxc_AbeHR3o</recordid><startdate>20190206</startdate><enddate>20190206</enddate><creator>Gremyachikh, Leonid</creator><creator>Dubov, Dmitrii</creator><creator>Kazeev, Nikita</creator><creator>Kulibaba, Andrey</creator><creator>Skuratov, Andrey</creator><creator>Tereshkin, Anton</creator><creator>Ustyuzhanin, Andrey</creator><creator>Shiryaeva, Lubov</creator><creator>Shishkin, Sergej</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20190206</creationdate><title>Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers</title><author>Gremyachikh, Leonid ; Dubov, Dmitrii ; Kazeev, Nikita ; Kulibaba, Andrey ; Skuratov, Andrey ; Tereshkin, Anton ; Ustyuzhanin, Andrey ; Shiryaeva, Lubov ; Shishkin, Sergej</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-96b47350c585248a36293ac64c434ed995111335b99ff2d7f8bc1b270b822dbf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Science - Learning</topic><topic>Computer Science - Systems and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Gremyachikh, Leonid</creatorcontrib><creatorcontrib>Dubov, Dmitrii</creatorcontrib><creatorcontrib>Kazeev, Nikita</creatorcontrib><creatorcontrib>Kulibaba, Andrey</creatorcontrib><creatorcontrib>Skuratov, Andrey</creatorcontrib><creatorcontrib>Tereshkin, Anton</creatorcontrib><creatorcontrib>Ustyuzhanin, Andrey</creatorcontrib><creatorcontrib>Shiryaeva, Lubov</creatorcontrib><creatorcontrib>Shishkin, Sergej</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gremyachikh, Leonid</au><au>Dubov, Dmitrii</au><au>Kazeev, Nikita</au><au>Kulibaba, Andrey</au><au>Skuratov, Andrey</au><au>Tereshkin, Anton</au><au>Ustyuzhanin, Andrey</au><au>Shiryaeva, Lubov</au><au>Shishkin, Sergej</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers</atitle><date>2019-02-06</date><risdate>2019</risdate><abstract>Advances in the Astronautical Sciences 2020 First IAA/AAS SciTech
Forum on Space Flight Mechanics and Space Structures and Materials
Conference, volume 170 The number of space objects will grow several times in a few years due to the
planned launches of constellations of thousands microsatellites. It leads to a
significant increase in the threat of satellite collisions. Spacecraft must
undertake collision avoidance maneuvers to mitigate the risk. According to
publicly available information, conjunction events are now manually handled by
operators on the Earth. The manual maneuver planning requires qualified
personnel and will be impractical for constellations of thousands satellites.
In this paper we propose a new modular autonomous collision avoidance system
called "Space Navigator". It is based on a novel maneuver optimization approach
that combines domain knowledge with Reinforcement Learning methods.</abstract><doi>10.48550/arxiv.1902.02095</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Learning Computer Science - Systems and Control |
| title | Space Navigator: a Tool for the Optimization of Collision Avoidance Maneuvers |
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