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Misalignment measurement of membrane diffractive telescope segments by means of edge sensors with form closure

机译:薄膜衍射望远镜段的未对准测量通过边缘传感器具有封闭件的边缘传感器

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摘要

The membrane diffractive telescope is an alternative to future 10-meter class space telescopes due to its possible lower cost of manufacturing and launching. To actively control the misalignment, the edge sensor network is utilized to measure the relative in-plane motions as well as out-of-plane motions of neighboring segments. The measurement is vulnerable to noise and malfunction of sensors. We first model the segment kinematics, which is used to simulate the propagation of sensor error to the segment configuration error. Monte Carlo simulation results show that the sensor error is considerably accumulated in the configuration error, which follows approximately normal distribution. On the other hand, the ring-arranged segments imply the form closure with redundancy of edge sensors. It is employed to judge whether there are abnormal sensor readings and then to identify the malfunctioning sensors. A better estimation can further be obtained as correction to the abnormal readings. Simulation results show that without sensor error, the algorithm in most cases can identify two malfunctioning in-plane sensors and two malfunctioning out-of-plane sensors. While considering the sensor error, only one malfunctioning in-plane sensor and one malfunctioning out-of-plane sensor can be identified with a sufficiently big ratio of abnormal reading to the normal sensor error. (C) 2018 Optical Society of America
机译:膜衍射望远镜是未来10米级空间望远镜的替代,因为它可能的制造和发射成本较低。为了主动控制未对准,利用边缘传感器网络来测量相对面内运动以及相邻段的外平面运动。测量易受传感器的噪音和故障。我们首先模拟段运动学,用于模拟传感器误差传播到段配置错误。 Monte Carlo仿真结果表明,传感器误差在配置误差中显着累积,这遵循大致正常分布。另一方面,环形段意味着具有边缘传感器的冗余的形式封闭。它用于判断是否存在异常的传感器读数,然后识别出故障传感器。可以进一步获得更好的估计作为对异常读数的校正。仿真结果表明,没有传感器误差,大多数情况下的算法可以识别两个出现的面内传感器和两个发生故障的平面外传感器。在考虑传感器误差时,只能识别平面内传感器的一个故障,并且可以用足够大的异常读数与正常传感器误差相比识别出一个故障的平面异常传感器。 (c)2018年光学学会

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  • 来源
    《Applied optics》 |2018年第31期|共9页
  • 作者单位

    Natl Univ Def Technol Coll Intelligent Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Intelligent Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Intelligent Sci Changsha 410073 Hunan Peoples R China;

    Natl Univ Def Technol Coll Intelligent Sci Changsha 410073 Hunan Peoples R China;

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  • 正文语种 eng
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