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一种基于信息融合的深空巡航段自主导航算法
引用本文:常晓华,崔平远,崔祜涛.一种基于信息融合的深空巡航段自主导航算法[J].上海航天,2010,27(3):22-25,45.
作者姓名:常晓华  崔平远  崔祜涛
作者单位:哈尔滨工业大学,深空探测基础研究中心,黑龙江,哈尔滨,150080
摘    要:针对自主光学导航在深空巡航段应用中的问题,提出了一种基于信息融合的自主导航算法。由太阳敏感器测量获得太阳相对探测器的视线矢量,由分光计测量获得探测器相对太阳的径向速度,构建自主导航系统的两种信息观测方程;由基于状态估计误差协方差阵奇异值动态确定信息分配因子,用信息融合技术和扩展卡尔曼滤波算法实时估计探测器的位置与速度。对深度撞击任务的实际飞行数据的数值仿真结果表明:自主导航算法的轨道确定精度满足深空巡航段要求。

关 键 词:深空巡航  信息融合  太阳矢量  径向速度  自主导航

A Method of Autonomous Navigation for Deep Space Cruise Phase Based on Information Fusion
CHANG Xiao-hua,CUI Ping-yuan,CUI Hu-tao.A Method of Autonomous Navigation for Deep Space Cruise Phase Based on Information Fusion[J].Aerospace Shanghai,2010,27(3):22-25,45.
Authors:CHANG Xiao-hua  CUI Ping-yuan  CUI Hu-tao
Institution:(The Deep Space Exploration Research Center,Harbin Institute of Technology,Harbin Heilongjiang 150080,China)
Abstract:An autonomous navigation method based on information fusion was proposed to solve the problem of orbit determination during the deep space cruise phase in this paper.The sun line-of-sight vector was obtained by the sun sensor,and the radial velocity of the spacecraft relative to the sun was measured by a spectrometer.The two types of measurement equations were constructed.The information coefficients for different observation were derived by the singular value of the covariance matrix.Combined with extended Kalman filter,the position and velocity were determined based on information fusion.The simulation results of the practical data of deep impact mission showed that the requirement of the deep space cruise phase would be met by using this autonomous navigation method.
Keywords:Deep space cruise  Information fusion  The sun vector  Radial velocity  Autonomous navigation
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