关键词: 飞行器控制、导航技术, 非合作目标, 中距离相对导航, 相对运动参数估计, 推广Kalman滤波技术

Abstract: Based on the measurement method of using Visual Navigation Camera and Laser Ranger Finder, with combination of the measurement information of attitude sensor and inertial measurement unit, a navigation algorithm using an extended Kalman filter was proposed to estimate relative position and velocity of Free Flying Robot with respect to non-cooperative target. Under near coplanar orbit and mid-range distance assumption, a simplified navigation algorithm that can reduce complexity and computational effort of the proposed navigation algorithm was given. Even with unknown target orbital parameter, the relative motion parameter can also be estimated. Simulation results verify the validity of this navigation method and show a higher navigation accuracy.

Key words: control and navigation technology of aerocraft, non-cooperative target satellite, mid-range relative navigation, estimation of relative motion parameter, extended Kalman filtering technique