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SIMULATION RESULTS OF RENDEZVOUS AND DOCKING WITH THE INTERNATIONAL SPACE STATION USING ONLY 3D RANGE IMAGES

机译:使用仅3D范围图像使用3D范围图像的Rendezvous仿真结果与国际空间站对接

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NASA's future plans for space vehicles call for the ability to automatically rendezvous and dock (AR&D) with the International Space Station (ISS) and other targets. This requires sensors and algorithms capable of determining the relative position and orientation (pose) between the target and chase vehicles under the drastically varying lighting conditions of low Earth orbit and beyond. To this end, Ball Aerospace has developed algorithms to produce six degree-of-freedom navigation data from 3D point clouds. The algorithms require a-priori knowledge of the target vehicle geometry and a range image of the target vehicle for in-flight pose determination (no visible or reflective targets are needed). The algorithms have been incorporated into a simulation that includes a flash LIDAR model, orbital dynamics, vehicle thrust control, and a three-dimensional model of the ISS. The flash LIDAR is used as the only relative navigation sensor during AR&D. In this paper we present the results of the docking simulation, including the accuracy of the pose determination algorithms during a successful approach and docking with ISS.
机译:美国宇航局的航天车辆未来计划呼吁使用国际空间站(ISS)和其他目标自动与码头和码头(AR&D)。这需要能够在低地球轨道和超越的众所周置不同的照明条件下确定目标和追逐车辆之间的相对位置和方向(姿势)的传感器和算法。为此,球航空航天已经开发出从3D点云产生六个自由度导航数据的算法。该算法需要先验的目标车辆几何形状和目标车辆的范围图像,用于飞行飞行中的姿势确定(不需要可见或反射靶)。该算法已被纳入模拟,包括闪光激光雷达模型,轨道动力学,车辆推力控制和ISS的三维模型。 Flash LIDAR用作AR&D期间唯一的相对导航传感器。在本文中,我们介绍了对接模拟的结果,包括在成功的方法和与ISS对接期间姿势确定算法的准确性。

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