›› 2011, Vol. 31 ›› Issue (3): 8-13.doi: 10.3780/j.issn.1000-758X.2011.03.002

• 研究探讨 • 上一篇    下一篇

基于遗传算法的航天器纯星光导航方法

杨博, 刘灵珂, 刘孝孝   

  1. (北京航空航天大学宇航学院,北京 100191)
  • 收稿日期:2010-11-02 修回日期:2011-01-10 出版日期:2011-06-25 发布日期:2011-06-25
  • 作者简介:杨博 1963年生,2006获北京航空航天大学飞行器设计博士学位,现为北京航空航天大学副教授,硕士生导师。研究方向为深空探测自主导航与制导技术。
  • 基金资助:

    航天支撑基金资助项目

Spacecraft Pure Star Navigation Method Based onGenetic Algorithm

YANG  Bo, LIU  Ling-Ke, LIU  Xiao-Xiao   

  1. (School of Astronautics, Beihang University, Beijing 100191)
  • Received:2010-11-02 Revised:2011-01-10 Online:2011-06-25 Published:2011-06-25

摘要: 对于地月转移轨道的航天器,提出了以地球和月球两个近天体与三颗恒星之间的星光角距作为观测量,采用最小二乘法进行位置解算的方法。鉴于该方法精度不高,进一步以月球和恒星的天文信息为观测量,利用行星敏感器测量航天器与地球、月球之间的几何关系,利用星敏感器识别星光,建立航天器的位置方程,并通过遗传算法解算位置方程,进而实现对航天器的再定位。仿真结果表明,基于遗传算法的位置解算能大大提高航天器导航精度。

关键词: 遗传算法, 纯星光导航, 地月转移轨道, 最小二乘法, 定位仿真, 航天器

Abstract: A least square estimation method for determining spacecraft position in earthmoon transfer orbit was presented based on angle observations between three stars and two near celestial bodies. Due to relative low accuracy of the above method, the genetic algorithm was used to solve the spacecraft position equations based on the moon and stars celestial information observations and obtained a re-positioning of the spacecraft by using planetary sensors to measure the geometric relationship among the spacecraft, the moon, the earth, and using the star sensors to identify the stars. Simulation results show the method can greatly improve the navigation accuracy. 

Key words: Genetic algorithm, Pure star navigation, Earth-moon transfer orbit, Least square method, Location simulation, Spacecraft