Star-sensor-based predictive Kalman filter for satellite attitude estimation

被引：5
|
作者：
Yurong Lin
Zhenglong Deng
机构：
[1] Harbin Institute of Technology,Department of Control Science and Engineering
来源：
Science in China Series F: Information Sciences | 2002年 / 45卷 / 3期
关键词：
model error; predictive estimation; extended Kalman filter (EKF); attitude estimation;
D O I：
10.1360/02yf9017
中图分类号：
学科分类号：
摘要：
A real-time attitude estimation algorithm, namely the predictive Kalman filter, is presented. This algorithm can accurately estimate the three-axis attitude of a satellite using only star sensor measurements. The implementation of the filter includes two steps: first, predicting the torque modeling error, and then estimating the attitude. Simulation results indicate that the predictive Kalman filter provides robust performance in the presence of both significant errors in the assumed model and in the initial conditions.
引用
收藏
页码：189 / 195
页数：6
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