Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (7): 1480-1484.doi: 10.3969/j.issn.1001506X.2010.07.030

• 制导、导航与控制 • 上一篇    下一篇

基于MEKF的卫星姿态确定精度影响因素分析

矫媛媛1, 周海银1,2, 王炯琦1, 潘晓刚1   

  1. (1. 国防科学技术大学理学院数学与系统科学系, 湖南 长沙 410073; 2. 空间智能控制技术国防科技重点实验室, 北京 100080)
  • 出版日期:2010-07-20 发布日期:2010-01-03

Influence factor analysis on accuracy of satellite attitude determination based on MEKF

JIAO Yuanyuan1, ZHOU Haiyin1,2, WANG Jiongqi1, PAN Xiaogang1   

  1. ( 1. Dept. of Mathematics and System Science, National Univ. of Defense Technology, Changsha 410073, China;
    2. Space Intelligent Control Key Laboratory of Science and Technology for National Defense, Beijing 100080, China)
  • Online:2010-07-20 Published:2010-01-03

摘要:

乘性扩展卡尔曼滤波(multiplicative extended Kalman filter, MEKF)方法是卫星姿态确定中最为成熟有效的方法之一。针对该姿态确定方法,采用EKF随机稳定性分析理论,定性地分析了MEKF姿态确定精度的影响因素及其影响情况,重点分析了星敏感器采样频率、卫星姿态角速度的大小、初始误差、滤波参数选取等因素对MEKF姿态确定精度的影响,并通过仿真实验验证了上述分析的合理性。上述研究不仅能够加深人们在理论上对MEKF姿态确定方法的认识,也能够为工程上利用MEKF进行姿态确定提供参考。

Abstract:

The attitude determination methods, which employ the multiplicative extended Kalman filter (MEKF) technique, is effective and widely used in real applications. The theory of stochastic stability of the discretetime extended Kalman filter is employed to discuss the contributions of factors that take great influence on the accuracy of attitude determination. The factors are mainly considered as follows: the sampling frequency of starsensor, angular rate, initial error and filtering parameters. Finally, the simulation experiments validate the effectiveness of former analysis. This work is not only helpful to understand the MEKF attitude determination method in theory, but also useful to the practical applications.