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University of Illinois at Urbana-Champaign
Autonomous Artificial Neural Network Star Tracker for Spacecraft Attitude Determination
Abstract
dc:description"The time required to solve the ""lost-in-space"" problem for this star tracker prototype is on average 9.5 seconds. This is an improvement over the 60 seconds needed by the current off-the-shelf autonomous star tracker by Ball Aerospace, the CT-633. Initial acquisition after launch as well as recovery from a loss of attitude knowledge during the mission would occur significantly faster with this prototype system when compared to current commercially available autonomous star trackers."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Aerospace Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Trask, Aaron James
- Contributors dc:contributor
-
- Coverstone, Victoria L.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3070460
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/85076