DocumentCode :
693021
Title :
Micro-satellite attitude determination algorithm based on adaptive UKF
Author :
Min Li ; Song-yan Wang ; Bao-long Zhu ; Ying-chun Zhang ; Hua-yi Li
Author_Institution :
Coll. of Astronaut., Harbin Inst. of Technol., Harbin, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
2829
Lastpage :
2833
Abstract :
This paper addresses the problem of Micro-satellite attitude determination via adaptive unscented kalman filter (UKF). First, mathematical model for satellite attitude determination system is established based on bi-Vector method; then an adaptive UKF is constructed to achieve satellite attitude determination. Compared with UKF-based approach, the present method has an advantage to deal with the occurrence of external disturbance and the noise statistics. In adaptive UKF design, the adaptive factors are introduced to real-time adjust covariance matrix and gain matrix such that the present filter has self-adaptive ability. Finally, simulation results on a satellite example are provided to verify the effectiveness of the proposed attitude determination technique.
Keywords :
Kalman filters; adaptive filters; artificial satellites; attitude control; covariance matrices; nonlinear filters; adaptive UKF design; adaptive factors; adaptive unscented Kalman filter; bi-vector method; covariance matrix; gain matrix; microsatellite attitude determination algorithm; Adaptive systems; Estimation error; Mathematical model; Noise; Position measurement; Satellites; Vectors; Euler angles; adaptive unscented kalman filter; quaternion; satellite attitude determination system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885512
Filename :
6885512
Link To Document :
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