中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2015, Vol. 41 ›› Issue (3): 23-27.

• 学术研究 • 上一篇    下一篇

基于星间测距的编队卫星一致性导航算法

  

  • 出版日期:2015-06-24 发布日期:2015-07-09

A Consensus Navigation Algorithm for Spacecraft Formation Based on Distance Ranging

  • Online:2015-06-24 Published:2015-07-09

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.

关键词: 编队卫星群, 自主导航, 一致性, 卡尔曼滤波, 误差补偿

Abstract: An error compensation algorithm based on distance ranging is proposed for a class of autonomous 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 consensus 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.

Key words: spacecraft formation, autonomous navigation, consensus, Kalman filter, error compensation

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