Autonomous Navigation Algorithm Based on Star Sensor and Horizon Sensor

被引：1

作者：

Wang Peng ^{[1
]}

Zhang Yingchun ^{[1
]}

机构：

[1] Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150080, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3 | 2008年

关键词：

Star sensor; Horizon sensor; Autonomous navigation; Federal kalman filter;

D O I：

10.1109/CHICC.2008.4605293

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Directly sensing horizon is simply and reliable based on the horizon sensor. The navigation precision is lower depended on horizon sensor mainly. In this paper autonomous navigation algorithm by using measurement information of star sensor and horizon sensor is presented. The high precision satellite motion model is presented firstly. On the one hand the measure information of star sensor and horizon sensor are used to determinate orbit parameters. On the other hand the measure information of horizon sensor is used to determinate orbit parameters. The paper present a new information fusion method of autonomous navigation algorithm by using both of the two methods based on EFK Federal Kalman Filter. The observation equation of two models is educed in detail. The results of computer simulation show that the proposed system can improve the navigation precision, robustness and reliability.

引用

页码：275 / 279

页数：5