Title :
Satellite Attitude Estimation UKF Algorithm Based on Star-Sensor
Author :
Li, Hui ; Sun, Zhao-wei ; Zhang, Shi-jie
Author_Institution :
Res. Centre of Satellite Technol., Harbin Inst. of Technol.
Abstract :
The objective of this paper is to derive a satellite attitude estimation algorithm only using vector observation from the star-sensor, in gyros-less or gyro-disable mode. State estimation is achieved through the unscented Kalman filter (UKF) based on unscented transformation. Simulation results indicate that this approach is feasible and effective
Keywords :
Kalman filters; artificial satellites; attitude measurement; sensors; state estimation; satellite attitude estimation; star sensor; state estimation; unscented Kalman filter; vector observation; Angular velocity; Filtering algorithms; Filters; Jacobian matrices; Motion estimation; Nonlinear equations; Position measurement; Satellites; Space vehicles; Systems engineering and theory; Attitude estimation; Starsensor; Unscented Kalman Filter; satellite;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281761