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Ground testing of vision-based GNC systems by means of a new experimental facility

机译:基于视觉的GNC系统的地面测试通过新的实验设施

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A new experimental facility for the testing of autonomous vision-based GNC algorithms, recently developed at Politecnico di Milano, Aerospace Science and Technology Department (DAER) is presented. The system core is a 7DoF robotic arm that moves a navigation camera reproducing the spacecraft dynamics around a target. Different targets are provided: a lunar terrain diorama for planetary landing simulation; a satellite mock-up for proximity GNC for rendezvous, docking and on-orbit servicing; an asteroid model to simulate proximity flight around small celestial bodies. The system can follow predefined trajectories, operating as a simple dataset generator; software-in-the-loop simulations are possible by coupling GNC with the spacecraft dynamics simulation. Different scale factors can be selected, simulating different phases of landing or close approach maneuvers. The system is designed to be upgradeable to perform real time hardware-in-the-loop simulations, with also the possibility to include additional sensors (eg. IMU, laser altimeter). The suite of autonomous GNC algorithms under study at DAER, and their preliminary experimental tests in the new facility are shown and discussed.
机译:提出了一种新的实验设施,用于测试基于自主视觉的GNC算法,最近在PoliteCnico di Milano,航空科学和技术部门(Daer)开发。系统核心是一个7dof机器人臂,移动导航摄像机以围绕目标再现航天器动力学。提供了不同的目标:用于行星着陆模拟的月球地形Diorama;用于Rendezvous,对接和轨道维修的卫星模拟GNC;小行星模型模拟小天体周围的邻近飞行。系统可以按照预定义的轨迹,作为简单的数据集生成器操作;通过将GNC与航天器动力学仿真耦合,可以通过耦合软件仿真。可以选择不同的尺度因子,模拟着陆或关闭方法的不同阶段。该系统旨在升级可升级以执行实时硬件型仿真,也可以包括附加传感器(例如,IMU,激光高度计)。展示和讨论并讨论了在DaER研究下的自主GNC算法套件及其在新设施中的初步实验测试。

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