Abstract

The parameter identification of a non-cooperative target is a key problem of on-orbit servicing. Due to poor priori information about the motion and structure of non-cooperative targets, the traditional cooperative estimation architecture is inadequate. In addition, the existing method based on single observation spacecraft is difficult to ensure a good observation state for a long time. This paper proposes a method for observing and estimating attitude kinematic state of a non-cooperative space target based on multi-spacecrafts cooperative observation. The space target's 3D point cloud data is reconstructed based on the data with different viewpoints. The target's attitude change is calculated based on the 3D point cloud matching, and the kinematics information is estimated via EKF filtering. The simulation results demonstrate the efficiency of the proposed approach. As the proposed method does not require priori model, structural information or accurate motion information of the tumbling non-cooperative target, it can avoid the influence of occlusion or date missing in space observation, it is suitable for space on-orbit servicing with non-cooperative target in future.

Highlights

  • The parameter identification of a non⁃cooperative target is a key problem of on⁃orbit servicing

  • The existing method based on single observation spacecraft is difficult to ensure a good observation state for a long time

  • This paper proposes a method for observing and estimating attitude kinematic state of a non⁃cooperative space target based on multi⁃spacecrafts cooperative observation

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Summary

Introduction

进一步地,针对不同的协同观测姿态角解算误 差进行蒙特卡洛打靶。 协同观测的仿真结果表明, 不同观测距离和观测视线夹角下的观测解算误差存 在差异和波动。 本文选定观测距离 40 ~ 80 m,观测 视线夹角 10° ~ 15°的观测区间,参照图 5 和图 6 所 示的观测解算误差,对应的 2 个视点和 3 个视点的 观测姿态角解算误差范围分别为 0. [1] ZHANG L, YANG H, LU H, et al Cubature Kalman filtering for relative spacecraft attitude and position estimation[ J] . [4] ZHANG L, ZHU F, HAO Y, et al Optimization⁃based non⁃cooperative spacecraft pose estimation using stereo cameras during proximity operations[ J] .

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