稀疏轨道信息下的非合作飞行器机动识别方法

在已知信息为稀疏轨道根数情况下, 针对非合作飞行器的机动参数识别问题进行了研究, 提出一种基于轨道反演的机动参数识别方法及相应的求解算法。首先, 建立轨道反演模型及机动参数识别优化模型。然后, 提出一种“全局寻优+局部修正”的双重优化算法。最后, 对提出的机动参数识别方法进行了仿真校验。结果显示, 双重优化方法能够有效求解本文的优化模型, 所提方法在误差允许范围内能够有效识别机动参数。研究为有限信息下的非合作飞行器的机动识别提供了一种思路, 一定程度上保障了空间飞行器的在轨安全。

Maneuvering identification method of non-cooperative aircraft based onsparse orbit information

The maneuvering parameter identification of non-cooperative aircraft is studied when the known information is sparse orbit elements. In this paper, a maneuver parameter identification method based on orbit inversion and its corresponding solution algorithm are proposed. Firstly, the orbit inversion model and the maneuvering parameter identification optimization model are established. Then, a double optimization algorithm of "global optimization plus local correction" is proposed. Finally, the maneuvering parameter identification method proposed is verified by simulation. The results show that the double optimization method can effectively solve the optimization model, and the proposed method can effectively identify maneuvering parameters within an acceptable error range. The research provides an idea for maneuvering identification of non-cooperative aircraft with limited information, and ensures the on-orbit safety of spacecraft to a certain extent.