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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Integrated celestial navigation for spacecraft using interferometer and Earth sensor
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Integrated celestial navigation for spacecraft using interferometer and Earth sensor

机译:使用干涉仪和地球传感器对航天器的集成天线导航

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摘要

An integrated celestial navigation scheme for spacecrafts based on an optical interferometer and an ultraviolet Earth sensor is presented in this paper. The optical interferometer is adopted to measure the change in inter-star angles due to stellar aberration, which provides information on the velocity of the spacecraft in the plane perpendicular to the direction of the observed star. In order to enhance the navigation performance, the measurements obtained from the ultraviolet Earth sensor is used to eliminate the unfavorable effect caused by the gravitational deflection of starlight. As the prior knowledge about the optical path delay bias of the optical interferometer may be ambiguous, a Q-learning extended Kalman filter is derived to fuse the two types of measurements, and estimate the kinematic state together with the optical path delay bias. The solution of the autonomous navigation system consists of position, velocity and attitude of the spacecraft. Numerical simulation shows that an evident improvement in navigation accuracy can be achieved by introducing the ultraviolet Earth sensor into the navigation system. In addition, it is shown that the Q-learning extended Kalman filter performs better than the traditional extended Kalman filter.
机译:本文提出了一种基于光学干涉仪和紫外线传感器的航天器的集成天体导航方案。采用光学干涉仪来测量由于恒星像差导致的星形区角度的变化,这提供了关于垂直于观察星的方向的平面中的航天器的速度的信息。为了增强导航性能,从紫外线传感器获得的测量用于消除由星光的重力偏转引起的不利影响。作为关于关于光学干涉仪的光路延迟偏置的先验知识可以模糊,导出Q学习扩展卡尔曼滤波器以使两种类型的测量融合,并与光路延迟偏置一起估计运动状态。自主导航系统的解决方案包括航天器的位置,速度和姿态。数值模拟表明,通过将紫外线传感器引入导航系统,可以实现导航精度的显着提高。此外,显示Q-Learning扩展卡尔曼滤波器比传统的扩展卡尔曼滤波器更好地执行。

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