伴飞卫星自主相对导航衰减记忆滤波算法

The Declining Memory Filtering Algorithm for Autonomous Relative Navigation of Tributary Satellite

为实现伴飞卫星的自主相对导航,基于C-W方程提出了一种在伴飞卫星轨道系中建立简化的相对运动方程构成星上轨道递推、根据导航敏感器输出进行量测更新的导航滤波器,并利用衰减记忆滤波算法抑制系统模型误差对相对导航结果的影响。仿真结果表明,该滤波算法可实现伴飞星的自主相对导航。它不仅较C-W方程更简单,而且适于模型不准确时的相对导航,工程实现易。

To implement the autonomous relative navigation of a tributary satellite, a navigation filter was put forward in this paper, which update was processed based on the output of relative navigation sensor when the onboard orbit propagation was realized by simplified relative motion equation in the tributary satellite coordinate system according to Clohessy-Wiltshire method. The declining memory filtering algorithm was applied to suppress the effect of system model error on the relative navigation. The simulation results showed that the autonomous relative navigation of the tributary satellite would be implemented by this algorithm. It was simpler than C-W method and more suitable to the relative navigation when the system model had error, which was easy to realize in engineering.