DocumentCode :
3045814
Title :
Research on satellite attitude determination with adaptive filter
Author :
Zhao, Lin ; Huang, Chen ; Wang, Xinzhe ; Su, Zhonghua
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
1045
Lastpage :
1048
Abstract :
When satellite is running, it may be influenced by external factors, and the measurement models of gyro and star sensor are changing with time uncertainly. This situation may lead extended Kalman filter(EKF) divergent. So new adaptive filter can be used in this situation, and it can estimate process noise and measuring noise on-time. This paper has applied Sage-Husa adaptive filter in satellite attitude determination. This adaptive filter algorithm can estimate satellite attitude parameters and gyro drift on-time with high accuracy reaching 10-3 level, and stability of the algorithm is also very good.
Keywords :
adaptive filters; artificial satellites; attitude measurement; sensors; EKF; Sage-Husa adaptive filter; extended Kalman filter; gyro sensor; measuring noise; process noise; satellite attitude determination; star sensor; Adaptive filters; Automation; Kalman filters; Noise measurement; Parameter estimation; Position measurement; Satellites; Stability; State estimation; Time measurement; EKF; Sage-Husa adaptive filter; gyro; star sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512155
Filename :
5512155
Link To Document :
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