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Satellite angular motion classification for active on-orbit debris removal using robots

机译:卫星角运动分类,使用机器人主动清除在轨碎片

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Purpose - This paper aims to present a novel method for identification and classification of rotational motion for uncontrolled satellites. These processes are shown in context of close proximity orbital operations. In particular, it includes a manipulator arm mounted on chaser satellite and used to capture target satellites. In such situations, a precise extrapolation of the target's docking port position is needed to determine the manipulator arm motion. The outcome of this analysis might be used in future debris removal or servicing space missions.Design/methodology/approach - Nonlinear, and in some special cases, chaotic nature of satellite rotational motion was considered. Four parameters were defined: range of motion toward docking port, dominant frequencies, fractal dimension of the motion and its time dependencies.Findings - The qualitative analysis was performed for presented cases of spacecraft rotational motion and for each case the respective parameters were calculated. The analysis shows that it is possible to detect the type of rotational motion.Originality/value - A novel procedure allowing to estimate the type of satellite rotational motion based on fractal approach was proposed.
机译:目的-本文旨在提出一种新方法,用于对不受控制的卫星进行旋转运动的识别和分类。这些过程是在近距离轨道运行的背景下显示的。特别是,它包括一个安装在跟踪卫星上并用于捕获目标卫星的操纵臂。在这种情况下,需要对目标物的对接端口位置进行精确外推,以确定操纵器臂的运动。分析的结果可能会用于将来的碎片清除或太空任务的维修。设计/方法/方法-非线性的,在某些特殊情况下,考虑了卫星旋转运动的混沌性质。定义了四个参数:朝向对接端口的运动范围,主导频率,运动的分形维数及其时间依赖性。结果-对提出的航天器旋转运动情况进行了定性分析,并针对每种情况分别计算了参数。分析表明,有可能检测到旋转运动的类型。原始性/值-提出了一种基于分形方法估算卫星旋转运动类型的新方法。

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