Multi-view-based cooperative observation method for space non-cooperative target's attitude determination

被引:1
作者
Zhao D. [1 ]
Sun C. [1 ]
Yuan J. [1 ]
Yuan J. [1 ]
机构
[1] School of Astronautics, Northwestern Polytechnical University, Xi'an
来源
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2021年 / 39卷 / 02期
关键词
3D reconstruction; Attitude determination; Cooperative observation; EKF; Non-cooperative target; Tumbling target;
D O I
10.1051/jnwpu/20213920267
中图分类号
学科分类号
摘要
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. © 2021 Journal of Northwestern Polytechnical University.
引用
收藏
页码:267 / 277
页数:10
相关论文
共 22 条
  • [1] ZHANG L, YANG H, LU H, Et al., Cubature Kalman filtering for relative spacecraft attitude and position estimation, Acta Astronautica, 105, 1, pp. 254-264, (2014)
  • [2] OPROMOLLA R, FASANO G, RUFINO G, Et al., A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations, Progress in Aerospace Sciences, 93, 8, pp. 53-72, (2017)
  • [3] HOWARD R T, HEATON A F, PINSON R M, Et al., Orbital express advanced video guidance sensor, Proceedings of the 2008 IEEE Aerospace Conference, (2008)
  • [4] ZHANG L, ZHU F, HAO Y, Et al., Optimization-based non-cooperative spacecraft pose estimation using stereo cameras during proximity operations, Applied Optics, 56, 15, pp. 4522-4531, (2017)
  • [5] TERUI F, KAMIMURA H, NISHIDA S I, Et al., Motion estimation to a failed satellite on orbit using stereo vision and 3D model matching, Proceedings of the 2006 9th International Conference on Control, Automation, Robotics and Vision, (2006)
  • [6] OPROMOLLA R, FASANO G, RUFINO G, Et al., Pose estimation for spacecraft relative navigation using model-based algorithms, IEEE Trans on Aerospace and Electronic Systems, 53, 1, pp. 431-447, (2017)
  • [7] BIONDI G, MAURO S, MOHTAR T, Et al., Attitude recovery from feature tracking for estimating angular rate of non-cooperative spacecraft, Mechanical Systems & Signal Processing, 83, 1, pp. 321-336, (2017)
  • [8] ZHANG X, JIANG Z, ZHANG H, Et al., Vision-based pose estimation for textureless space objects by contour points matching, IEEE Trans on Aerospace and Electronic Systems, 54, 5, pp. 2342-2355, (2018)
  • [9] BIONDI G, MAURO S, MOHTAR T, Et al., Feature-based estimation of space debris angular rate via compressed sensing and Kalman filtering, Proceedings of the 3rd IEEE International Workshop on Metrology for Aerospace, (2016)
  • [10] LI Y, WANG Y, XIE Y., Using consecutive point clouds for pose and motion estimation of tumbling non-cooperative target, Advances in Space Research, 63, 5, pp. 1576-1587, (2019)