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Title:Autonomous Artificial Neural Network Star Tracker for Spacecraft Attitude Determination
Author(s):Trask, Aaron James
Doctoral Committee Chair(s):Coverstone, Victoria L.
Department / Program:Aerospace Engineering
Discipline:Aerospace Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
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.
Issue Date:2002
Type:Text
Language:English
Description:83 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.
URI:http://hdl.handle.net/2142/85076
Other Identifier(s):(MiAaPQ)AAI3070460
Date Available in IDEALS:2015-09-25
Date Deposited:2002


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