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