航天器自主天文导航系统的可观测性及 可观测度分析

宁晓琳; 房建成

航天器自主天文导航系统的可观测性及可观测度分析

北京航空航天大学仪器科学与光电工程学院, 北京 100083

基金项目: 国家自然科学基金资助项目(60174031)

详细信息

作者简介:
宁晓琳(1979-),女,山东济南人,博士生, ningxiaolin@yahoo.com.cn.

中图分类号: V 448.2
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- 文章访问数: 2794
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- 被引次数: 0
出版历程
- 收稿日期: 2004-01-13
- 网络出版日期: 2005-06-30

Analysis of observability and the degree of observability in autonomous celestial navigation

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 天文导航系统中的观测量是一个重要的精度影响因素,星光角距和星光仰角是天文导航中两种最常用的观测信息,首先介绍了这两种观测信息及其量测方程的建立,然后从天文导航系统的可观测性和可观测度的角度,以观测矩阵的条件数作为系统可观测度的度量标准,分析了由于所选用的观测量的不同所导致的系统导航性能的差别,同时给出了一种衡量天文导航系统中的观测量和系统性能的分析方法.计算机仿真结果证明了该方法的有效性.
- 航天器 /
- 自主导航 /
- 天文导航 /
- 可观测度
Abstract: The type of celestial measurement used in the autonomous celestial navigation system is one of the most important factors, which effect the precision of position determination greatly. There are two main celestial measurements. One is the angle between the lines of sight to a star and earth core. The other is the star elevation angle which is the angle between the lines of sight to a star and the edge of earth disk. These two common celestial measurements and their measurement equations were presented. The performance of the system using different kind of celestial measurement was analyzed based on the observability and the degree of observability of the celestial navigation system. The condition number of the observability matrix is adopted as a scalar measure of degree of observability. The effectiveness and the validation of this analysis method were confirmed by the results of computer simulation.
- aircraft /
- autonomous navigation /
- celestial navigation /
- observability

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参考文献(1)

[1] Battin R H. An introduction to the mathematics and methods of astrodynamics[M]. New York:American Institute of Aeronautics and Astronautics, 1987 [2] 杨博,房建成,伍小洁.一种利用星敏感器的航天器自主定位方法[J].中国空间科学技术 2001, 21(2):26~30 Yang Bo, Fang Jiancheng, Wu Xiaojie. A method of autonomous position determination of spacecraft using star sensor[J]. China Space Science and Technology,2001,21(2):26~30 (in Chinese) [3] 董云峰,章仁为.利用星敏感器的卫星自主导航[J].宇航学报, 1995,16(4):36~41 Dong Yunfeng, Zhang Renwei. Satellite autonomous navigation using star sensor . Journal of Astronautics, 1995,16(4):36~41(in Chinese) [4] 胡小平.自主导航理论与应用[M].长沙:国防科技大学出版社,2002 Hu Xiaoping. Autonomous navigation theory and application[M].Changsha:National University of Defense Technology Press, 2002 (in Chinese) [5] 章仁为.卫星轨道姿态动力学与控制[M].北京:北京航空航天大学出版社,1998 Zhang Renwei. Satellite attitude dynamics and control[M]. Beijing:Beijing University of Aeronautics and Astronautics Press,1998 (in Chinese) [6] 刘林.航天器轨道理论[M].北京:国防工业出版社,2000 Liu Lin. Orbit theory of spacecraft[M]. BeiJing:National Defence Industry Press, 2000 (in Chinese) [7] Simon Haykin. Kalman filtering and neural networks[M]. Indianapolis:John Wiley & Sons, Inc, 2001.16~20 [8] Hermann R, Krener A. Nonlinear controllability and observability[J]. Automatic Control, IEEE,1977, 22(5):728~740 [9] Goshen-Meskin D, Bar-Itzhack I Y. Observability analysis of piece-wise constant systems I theory[J]. Aerospace and Electronic Systems, IEEE,1992, 28(4):1056~1067 [10] Konrad Reif, Stefan Gunther. Stochastic stability of the discerte-time extended Kalman filter[J]. Automatic Control, IEEE Transactions, 1999, 44(4):714~728 [11] Chen Zhe. Local observability and its application to multiple measurement estimation[J]. Industrial Electronics, IEEE Transactions, 1991,38(6):491~496

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