中国空间科学技术

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基于信息融合的深空探测器的自主导航方法

宁晓琳,房建成   

  1. 北京航空航天大学宇航学院,北京航空航天大学宇航学院 北京100083 ,北京100083
  • 发布日期:2004-02-25

A New Method of Autonomous Navigation for Deep Space Explorer Based on Information Fusion

Ning Xiaolin Fang Jiancheng (School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 10083)   

  • Online:2004-02-25
  • Supported by:
    民用航天预研资助项目;; 国家自然科学基金 (批准号 60 1740 3 1)资助项目

被引次数

33

摘要： 天文导航是深空探测器实现自主导航的重要手段之一 ,其基本原理是基于航天器轨道动力学方程和对天体的观测信息 ,利用卡尔曼滤波精确估计航天器的位置和速度。但由于天文导航只使用了相对于天体的角度信息 ,所以定位精度较低。为解决这一问题 ,文章提出了一种在天文观测信息的基础上 ,同时利用多普勒频移测量探测器与地面站的相对速度 ,并利用信息融合将两者有效的结合在一起的导航新方法。计算机仿真结果显示 ,该方法可以大大提高导航定位的精度

关键词: 深空探测器, 自主式导航, 信息融合, 计算机仿真

Abstract: Celestial navigation is one of the important methods of the deep space probe to realize autonomous navigation. Based on the orbit kinetic equation and the observation information to the orb, at the same time using the Kalman filter to accurately estimate the position and velocity of the spacecraft. But these angle measurements can't provide enough information to estimate the position of explorer with a high precision. This paper presents a new method of autonomous navigation which using both the celestial method and one-way Doppler measurement from ground stations based on information fusion. The simulation results show that the high precision of position determination can be obtained.