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Assembly of a Large Modular Optical Telescope (ALMOST)

机译:大型模块化光学望远镜(ALMOST)的组装

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Future space telescope programs need to assess in-space robotic assembly of large apertures at GEO and ESL2 to support ever increasing aperture sizes. Since such large apertures will not fit within a fairing, they must rely on robotic assembly/deployment. Proper assessment requires hardware-in-the-loop testing in a representative environment. Developing, testing, and flight qualifying the myriad of technologies needed to perform such a test is complex and expensive using conventional means. Therefore, the objective of the ALMOST program is to develop a methodology for hardware-in-the-loop assessment of in-space robotic assembly of a telescope under micro-gravity conditions in a more cost-effective and risk-tolerant manner. The approach uses SPHERES, currently operating inside ISS, to demonstrate in-space robotic assembly of a telescope that will phase its primary mirror to optical tolerances to compensate for assembly misalignment. Such a demonstration, exploiting the low cost and risk of SPHERES, will dramatically improve the maturity of the guidance, navigation and control algorithms, as well as the mechanisms and concept of operations, needed to properly assess such a capability.
机译:未来的太空望远镜计划需要评估GEO和ESL2的大光圈的太空机器人组装,以支持不断增加的光圈大小。由于如此大的孔将无法容纳在整流罩内,因此它们必须依靠机器人的组装/部署。正确的评估需要在具有代表性的环境中进行硬件在环测试。使用常规方法,开发,测试和飞行认证执行该测试所需的多种技术既复杂又昂贵。因此,ALMOST计划的目标是开发一种方法,以更具成本效益和风险承受力的方式,在微重力条件下对望远镜的空间机器人组件进行硬件在环评估。该方法使用了目前在ISS内部运行的SPHERES来演示望远镜的太空机器人组装过程,该组装过程会将其主镜对准光学公差,以补偿组装不对准的情况。这样的演示利用了SPHERES的低成本和低风险,将极大地改善正确评估这种能力所需的制导,导航和控制算法以及操作机制和概念的成熟度。

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