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ASCAL: Autonomous Attitude Sensor CalibrationAbstract In this paper, an approach to increase the degree of autonomy of flight software is proposed. We describe an enhancement of the Attitude Determination and Control System by augmenting it with self-calibration capability. Conventional attitude estimation and control algorithms are combined with higher level decision making and machine learning algorithms in order to deal with the uncertainty and complexity of the problem.
Document ID
19990064160
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Peterson, Chariya (Computer Sciences Corp. Lanham, MD United States)
Rowe, John (Computer Sciences Corp. Lanham, MD United States)
Mueller, Karl (NASA Goddard Space Flight Center Greenbelt, MD United States)
Ziyad, Nigel (NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
August 19, 2013
Publication Date
May 1, 1999
Publication Information
Publication: 1999 Flight Mechanics Symposium
Subject Category
Instrumentation And Photography
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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IDRelationTitle19990064158Collected Works1999 Flight Mechanics Symposium19990064158Collected Works1999 Flight Mechanics Symposium
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