基于自然特征的GEO卫星位姿测量

Xiaodong Du, Bin Liang, Wenfu Xu, Xueqian Wang, Jianghua Yu
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引用次数: 9

摘要

为了完成在轨服务任务,首先要求机器人系统自主接近目标并与目标对接,其中相对位姿的测量是关键。这是一项具有挑战性的任务,因为现有的地球同步轨道卫星通常是非合作的,即没有安装人工标记来辅助测量。本文提出了一种基于自然特征的静止轨道卫星R-bar末进相位姿估计方法。选取适配环和卫星底边作为识别对象。利用圆弧的特性,可以在求解相对位置的同时,得到两个方向的解。利用底部边缘形成的消失点来解决方向对偶问题,使机载摄像机不需要特定的运动。给出了相应的图像处理和姿态估计算法。计算机仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pose Measurement of a GEO Satellite Based on Natural Features
In order to perform the on-orbit servicing mission, the robotic system is firstly required to approach and dock with the target autonomously, for which the measurement of relative pose is the key. It is a challenging task since the existing GEO satellites are generally non-cooperative, i.e. no artificial mark is mounted to aid the measurement. In this paper, a method based on natural features is proposed to estimate the pose of a GEO satellite in the phase of R-bar final approach. The adapter ring and the bottom edges of the satellite are chosen as the recognized object. By the circular feature, the relative position can be resolved while two solutions of the orientation are obtained. The vanishing points formed by the bottom edges are applied to solve the orientation-duality problem so that the on board camera requires no specific motions. The corresponding algorithm for image processing and pose estimation is presented. Computer simulations verify the proposed method.
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