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Parameters estimation of space debris captured by tethered robotic system

机译:束缚式机器人系统捕获的空间碎片的参数估计

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This paper presents a new scheme for on-line inertia parameters estimation for a rigid space debris captured by a tethered robotic system, based on a new dynamics model of the system where the base satellite and the space debris (target) are modeled as rigid bodies and the attachment points of the tether are offset from the centers of mass of the two bodies. In the proposed algorithm, the chaser and target are modeled as rigid bodies, the latter with unknown inertia parameters. Then, the parameters identification problem is formulated and solved. First, we analyze the planar motion of the target satellite and the tether based on the proposed rigid body model. Then, the oscillations of the tether and target satellite during the post-capture phase are used to estimate the inertia parameters of the unknown satellite under the circumstances that all the information of the target is not communicated to the chaser spacecraft or the terminal robotic device due to it is an uncooperative target. At last, a robust variable forgetting factor recursive least-squares algorithm is involved to identify the moments of inertia and the offsets of the uncooperative target.
机译:本文提出了一种新的在线拴系机器人系统捕获的刚性空间碎片惯性参数估计方案,该方案基于将基础卫星和空间碎片(目标)建模为刚体的系统的新动力学模型系绳的连接点从两个物体的质心偏移。在所提出的算法中,将追赶者和目标建模为刚体,后者具有未知的惯性参数。然后,提出并解决了参数辨识问题。首先,我们基于提出的刚体模型分析目标卫星和系链的平面运动。然后,在没有将目标的所有信息都传递给追逐航天器或终端机器人设备的情况下,使用捕获后阶段的系绳和目标卫星的振荡来估计未知卫星的惯性参数。这是一个不合作的目标。最后,采用鲁棒的变量遗忘因子递推最小二乘算法识别惯性矩和不合作目标的偏移量。

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