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基于鲁棒卡尔曼滤波的编队卫星相对导航
引用本文:陶久亮,邵晓巍,龚德仁,段登平,李伟.基于鲁棒卡尔曼滤波的编队卫星相对导航[J].航天控制,2011,29(5):8-14.
作者姓名:陶久亮  邵晓巍  龚德仁  段登平  李伟
作者单位:上海交通大学航空航天学院,上海,200240
摘    要:为提高编队卫星相对导航精度和计算稳定性,采用鲁棒卡尔曼滤波进行相对位置和相对速度的估计.对星间相对动力学方程进行适应性改造,使其具有线性离散不确定性系统形式.以载波相位差分GPS为观测模型,采用鲁棒卡尔曼滤波进行相对状态估计.数值仿真结果表明,该算法相对于扩展卡尔曼滤波算法具有明显优势,导航精度更高、鲁棒性更强,具有一...

关 键 词:编队卫星  相对导航  鲁棒卡尔曼滤波  扩展卡尔曼滤波

Relative Navigation for Spacecraft Formation Flying Based on Robust Kalman Filter
TAO Jiuliang,SHAO Xiaowei,GONG Deren,DUAN Dengping,LI Wei.Relative Navigation for Spacecraft Formation Flying Based on Robust Kalman Filter[J].Aerospace Control,2011,29(5):8-14.
Authors:TAO Jiuliang  SHAO Xiaowei  GONG Deren  DUAN Dengping  LI Wei
Institution:TAO Jiuliang SHAO Xiaowei GONG Deren DUAN Dengping LI Wei School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China
Abstract:Aiming at improving the stability and computation precision of the relative navigation of formation flying satellites,a robust Kalman filter(RKF) is presented for the estimation of relative position and velocity.The dynamics equations of relation motion among satellites are modified to a discrete linear system with uncertainty.Based on the observation model of carrier phase differential GPS,the relative states are estimated by using RKF.The algorithm takes obvious advantages than EKF including higher naviga...
Keywords:Formation flying satellite  Relative navigation  Robust Kalman filter  Extended Kalman filter  
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