Accurate estimation for the angular velocity parameters of non-cooperative space targets is the key to ensuring the success of on-orbit capture and docking of servicing satellites,and is one of the most important technologies for space on-orbit services and space debris removal.In the case of short and medium distances,this paper proposes an angular velocity estimation method based on image plane projection geometry according to the motion theorem and periodic relationship between the spatial non-cooperative targets and their geometric projection points in the respective coordinate systems.The method only uses a monocular camera and does not need to know the relative pose to solve the angular velocity of the target,which is simple in implementation and lightweight in structure.In this paper,firstly,the motion theorem of the non-cooperative target in three-dimensional space and its projection point in the image plane is analyzed,and then the LSD line feature is extracted by the monocular camera for inter-frame matching and verification of the feature,and the tracking of the projection point is completed.The periodic relationship of the spin motion can be obtained to solve the angular velocity.The experiment uses the SOHO satellite provided by NASA's official website to simulate the uniaxial spin motion on the real industrial turntable.The results show that the projected geometric estimation method proposed in this paper can obtain high-precision angular velocity in the absolute error range of 0.11deg/s and the relative errorof 2.7%.
DONG Zhen-yu
. Measurement Method of Spin Parameters for Non-Cooperative Targets Independent of Pose[J]. Journal of Space Science and Experiment, 2022
, 22(2)
: 1
-10
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DOI: 10.19963/j.cnki.2096-4099.2022.02.001
[1] 梁斌,杜晓东,李成,等.空间机器人非合作航天器在轨服务研究进展 [J].机器人,2012,34(2):242-256.
[2] 张玉军,冯书兴.主动式空间碎片清理研究 [Z] //张玉军,冯书兴.装备指挥技术学院学报.2010:78-82
[3] 林来兴.空间碎片现状与清理 [J].航天器工程,2012,21(3):1-10.
[4] 邱爽.空间非合作目标状态估计与消旋方案设计 [D].哈尔滨:哈尔滨工业大学,2018.
[5] PENG J,XU W,LIANG B,et al.Pose measurement and motion estimation of space non-cooperative targets based on laser radar and stereo-vision fusion [J].IEEE Sensors Journal,2018,19(8):3008-3019.
[6] LI Y,WANG Y,XIE Y.Using consecutive point clouds for pose and motion estimation of tumbling non-cooperative target [J].Advances in Space Research,2019,63(5):1576-1587.
[7] GE D,WANG D,ZOU Y,et al.Motion and inertial parameter estimation of non-cooperative target on orbit using stereo vision [J].Advances in Space Research,2020,66(6):1475-1484.
[8] PENG J,XU W,PAN E,et al.Dual-arm coordinated capturing of an unknown tumbling target based on efficient parameters estimation [J].Acta Astronautica,2019,162:589-607.
[9] QIU S,GUO Y,XING J,et al.Inertia parameter and attitude estimation of space noncooperative tumbling target based on a two-step method;proceedings of the IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society,F,2017 [C].IEEE.
[10] 邢景仪.空间非合作目标角速度估计方法研究 [D].哈尔滨:哈尔滨工业大学,2019.
[11] WANG K,LIU H,GUO B,et al.A 6D-ICP approach for 3D reconstruction and motion estimate of unknown and non-cooperative target;proceedings of the 2016 Chinese Control and Decision Conference (CCDC),F,2016 [C].IEEE.
[12] 赵高鹏,范佳杰,梁维奎.一种翻滚火箭箭体的运动参数估计方法 [J].宇航学报,2021,42(4):477-486.
[13] Ivanov D,Ovchinnikov M,Sakovich M.Relative pose and inertia determination of unknown satellite using monocular vision [J].International Journal of Aerospace Engineering,2018,2018.
[14] YINGYING G,LI W.Fast-swirl space non-cooperative target spin state measurements based on a monocular camera [J].Acta Astronautica,2020,166:156-61.
[15] Tweddle B E.Computer vision-based localization and mapping of an unknown,uncooperative and spinning target for spacecraft proximity operations [D].Massachusetts Institute of Technology,2013.
[16] 赵振庆,叶东,陈刚,等.垂直直线特征的双目视觉位姿测量方法 [Z] //赵振庆,叶东,陈刚,等.光学学报.2014:185-191
[17] 张跃强.基于直线特征的空间非合作目标位姿视觉测量方法研究 [D].长沙:国防科技大学,2016.
[18] 徐嗣雄.非合作航天器视觉相对位姿测量技术研究 [D].南京:南京理工大学,2019.
[19] 曹彩秀.非合作航天器位姿在轨测量方法的研究 [D].北京:北京邮电大学,2015.
[20] ZHAO G,XU S,BO Y.LiDAR-Based Non-Cooperative Tumbling Spacecraft Pose Tracking by Fusing Depth Maps and Point Clouds [J].Sensors (Basel),2018,18(10).