摘要
针对多航天器编队飞行的自主导航问题,利用高精度的相对距离测量手段,结合较少的参考卫星位置信息,对未知卫星的相对和绝对位置进行估计.针对扩展卡尔曼滤波算法的局部不稳定性,采用了一种误差补偿算法,使在系统可观度较低时仍有较稳定的输出.并将编队系统视为一个无线网络,提出了一种分布式一致性卡尔曼滤波算法,该算法结合一致性理论和分布式卡尔曼滤波器,可明显提高解算精度并消除高频噪声干扰,仿真结果验证了该方法的有效性与可靠性.
An error compensation algorithm based on distance ranging is proposed for a class of autono- mous navigation problems of spacecraft formation. It uses a high precision relative measuring method with less position data. The error compensation algorithm is given to prevent the local instability of traditional EKF method. A consensus distributed EKF algorithm is also given in this paper, which combines consen- sus theory and distributed kalman filter. The system is regarded as a network. A simulation result proves that this algorithm can prevent high frequency noise and has a high accuracy.
出处
《空间控制技术与应用》
CSCD
北大核心
2015年第3期23-27,共5页
Aerospace Control and Application
基金
国家重点基础研究发展计划(973)资助项目(2014CB845303)
国家高新技术研究发展计划(863)资助项目(2012AA120601)
关键词
编队卫星群
自主导航
一致性
卡尔曼滤波
误差补偿
spacecraft formation
autonomous navigation
consensus
Kalman filter
error compensation
