Autonomous Artificial Neural Network Star Tracker for Spacecraft Attitude Determination
Trask, Aaron James
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Permalink
https://hdl.handle.net/2142/85076
Description
Title
Autonomous Artificial Neural Network Star Tracker for Spacecraft Attitude Determination
Author(s)
Trask, Aaron James
Issue Date
2002
Doctoral Committee Chair(s)
Coverstone, Victoria L.
Department of Study
Aerospace Engineering
Discipline
Aerospace Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
"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."
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