Nonlinear predictive filter for satellite attitude estimation using star sensors

Author

Yurong, Lin ; Zhenglong, Deng ; Changsheng, Shao

Author_Institution

Dept. of Control Eng., Harbin Inst. of Technol., China

Volume

4

fYear

2000

fDate

2000

Firstpage

2949

Abstract

The filtering process of satellite attitude/attitude-rate estimation is discussed using only star sensors. Considering the characteristics of the vector observation, a real-time predictive filter for three-axis attitude estimation is given. An improved algorithm, which simplifies the restrictive condition, is presented based on the predictive filter. The nonlinear filter accurately estimates satellite attitude by predicting uncertainty in the dynamics equation one step ahead. The simulation results demonstrated both the feasibility and robustness of the filter

Keywords

artificial satellites; attitude control; dynamics; filtering theory; nonlinear systems; observability; parameter estimation; artificial satellite; attitude control; dynamics; nonlinear filter; nonlinear systems; predictive filter; robustness; star sensors; vector observation; Control engineering; Filtering; Nonlinear equations; Nonlinear filters; Paper technology; Position measurement; Robustness; Satellites; Sensor phenomena and characterization; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.862608

Filename

862608