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Flight demonstration of spaceborne real-time angles-only navigation to a noncooperative target in low earth orbit

机译:在低地球轨道上向非合作目标进行星载实时角度导航的飞行演示

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The paper describes the onboard vision-based navigation software employed during the DLR's AVANTI experiment and presents its flight performance. The navigation task relies on a dedicated target detection module in charge of extracting the line-of-sight observations from the images taken by a monocular camera. The recognition of the target is based on the kinematic identification of its trajectory over a sequence of images. Subsequently, the resulting angles-only measurements are validated dynamically and processed by an Extended Kalman Filter to derive in real-time the relative state estimate. A computationally light implementation of the filter is achieved by the use of an analytical relative motion model. Two autonomous rendezvous to a noncooperative object have been performed in orbit, first from 13 km to 1 km separation, then from 3 km to 50 m. Despite the poor visibility conditions and the strong orbit perturbations encountered at low altitude, the filter was able to supply the onboard guidance and control algorithms with accurate and reliable relative state estimation, enabling thus a safe and smooth approach.
机译:本文介绍了在DLR的AVANTI实验期间使用的机载基于视觉的导航软件,并介绍了其飞行性能。导航任务依赖于专用目标检测模块,该模块负责从单眼相机拍摄的图像中提取视线观察结果。对目标的识别基于一系列图像上其轨迹的运动学识别。随后,对所得的仅角度测量进行动态验证,并由扩展卡尔曼滤波器进行处理,以实时得出相对状态估计。通过使用解析相对运动模型,可以实现滤波器的轻量级计算。已经在轨道上完成了两个对非合作物体的自主会合,首先是在13 km至1 km的距离内,然后是在3 km至50 m的距离。尽管能见度很差,并且在低空遇到的强烈的轨道扰动,该滤波器仍能够为机载制导和控制算法提供准确而可靠的相对状态估计,从而实现安全,平稳的进近。

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