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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:CHANG Xiao-hua,CUI Hu-tao,SHAO Wei.Application of the sun line-of-sight vector in the optimal attitude estimation of deep-space probe[J].Journal of Harbin Institute Of Technology(New Series),2011,18(2):96-100.DOI:10.11916/j.issn.1005-9113.2011.02.020.
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Application of the sun line-of-sight vector in the optimal attitude estimation of deep-space probe
Author NameAffiliation
CHANG Xiao-hua Deep Space Exploration Research Center,Harbin Institute of Technology,Harbin 150080,China
Beijing Institute of Astronautical Systems Engineering,Beijing 100076,China 
CUI Hu-tao Deep Space Exploration Research Center,Harbin Institute of Technology,Harbin 150080,China 
SHAO Wei Deep Space Exploration Research Center,Harbin Institute of Technology,Harbin 150080,China 
Abstract:
This paper proposed an optimal algorithm using the sun line-of-sight vector to improve the probe attitude estimation accuracy in deep-space mission.Firstly,the elaborate analysis of the attitude estimation error from vector observations was done to demonstrate that the geometric relation between the reference vectors is an important factor which influences the accuracy of attitude estimation.Then,with introduction of the sun line-of-sight vector,the attitude quaternion obtained from the star-sensor was converted into a pair of mutually perpendicular reference vectors perpendicular to the sun vector.The normalized weights were calculated according to the accuracy of the sensors.Furthermore,the optimal attitude estimation in the least squares sense was achieved with the quaternion estimation method.Finally,the results of simulation demonstrated the validity of the proposed optimal algorithm based on the practical data of the Deep Impact mission.
Key words:  sun line-of-sight vector  attitude estimation  deep-space probe
DOI:10.11916/j.issn.1005-9113.2011.02.020
Clc Number:V476
Fund:

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