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High Accuracy Tracking of Space-Borne Non-Cooperative Targets

机译:空间非合作目标的高精度跟踪

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This dissertation is focussed on the subject of tracking non-cooperative targets, by the use of a vision based sensor. With the main goal of navigating a spacecraft or a rover. The main objective of the dissertation is to apply image processing methods to facilitate accurate and robust measurements for the spacecraft to navigate safely and autonomously towards the target. These methods are applied on three distinct study cases, which are based on the platform of the microASC instrument. In relation to the Mars2020 rover, a structured light system is used to navigate the PIXL instrument towards the Martian surface, whose objective is to seek evidence of ancient life in the form of chemical biosignatures. The structured light is a subsystem of the PIXL instrument consisting of two active lasers and an imager. The structured light makes use of active triangulation to support a safe approach towards the surface and to enhance the PIXL instrument's capabilities with highly accurate distance measurements. Optical observations of planetary bodies and satellites are utilized to determine the inertial position of a spacecraft. A software module is developed, tested and verified by both ground based and in-ight observations, where the performanceover the complete operational envelope is characterized by simulations. The in-flight observations were captured onboard Juno, during the Earth flyby, by the microASC instrument, operating as an inertially controlled imager. The involvement in Juno's Earth Fly By operational team and processing of the captured data was recognized with two Group Achievement Awards from the National Aeronautics and Space Administration. With today's advancement in autonomy, the focus is set on in-flight tracking of a non-cooperative artificial satellite with the end goal of capturing the target. The objective is to facilitate a sensor technology that enables fully autonomous relative navigation between a target and chaser. A novel method is designed, tested and verified to comply with the requirements for the final phase of a rendezvous scenario, applicable to servicing and sample return missions.
机译:本文的研究重点是通过使用基于视觉的传感器来跟踪非合作目标。以导航航天器或流动站为主要目标。本文的主要目的是应用图像处理方法,以促进航天器向目标安全,自主导航的准确和鲁棒的测量。这些方法应用于基于microASC仪器平台的三个不同的研究案例。对于Mars2020漫游车,使用结构化的照明系统将PIXL仪器导航到火星表面,其目的是以化学生物签名的形式寻找古代生命的证据。结构光是PIXL仪器的子系统,由两个有源激光器和一个成像器组成。结构化的光利用主动三角测量来支持朝向表面的安全进近,并通过高度精确的距离测量来增强PIXL仪器的功能。利用行星和卫星的光学观测来确定航天器的惯性位置。通过地面观测和近距离观测来开发,测试和验证软件模块,其中整个运行范围内的性能均通过仿真来表征。在飞行过程中,空中观测是通过microASC仪器(作为惯性控制成像仪)在朱诺号上进行的。参与Juno的Earth Fly By操作团队并处理捕获的数据获得了美国国家航空航天局的两项团体成就奖。随着当今自治技术的发展,重点是在飞行中跟踪非合作人造卫星,最终目标是捕获目标。目的是促进一种传感器技术,该技术能够实现目标与追踪器之间的完全自主的相对导航。设计,测试和验证了一种新颖的方法,以符合交会场景最后阶段的要求,适用于维修和样品返回任务。

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