Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862608
