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