The solar array drive assembly (SADA), a crucial component for three-axis stabilized satellites, has undergone decades of development since the 1960s, achieving remarkable advancements in transmission power, orbital lifespan, and reliability. Drawing on domestic and international research data, this article summarizes its application characteristics and explores potential future development trends. Copyright (c) 2025 The Authors.This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
The observability analysis and navigation filtering algorithms during Mars aerocapture are studied.The observability of the system is analyzed using a method based on Lie derivatives,with the effects of atmospheric den-sity uncertainty on the system's observability degree being considered.The unbiasedness of the Schmidt-Kalman Fil-ter under the condition of time-varying parameters is proven,in response to the system model non-linearity and at-mospheric density uncertainty.The Extended Schmidt-Kalman Filter(ESKF)algorithm is introduced,which effec-tively improves the accuracy of state estimation during aerocapture.Through simulation verification,the ESKF algo-rithm shows better estimation performance compared to traditional methods,providing effective theoretical and meth-odological support for the execution of Mars aerocapture missions.
航天器遥测数据异常检测是识别航天器状态、保障航天器安全可靠运行的关键技术.然而,航天器遥测数据异常检测通常面临时序数据维度大、异常不平衡、标签样本缺乏等问题.基于数据预测的异常检测思想,提出一种基于迁移学习的深度异常检测模型.根据遥测数据时序相关性强的特点,采用具有注意力机制的长短期记忆网络建立遥测数据预测模型.为了克服航天器遥测数据异常标签少、数据维度高的问题,采用微调的迁移学习方法对预测模型进行优化,同时采用全连接层统一不同数据集维度,从而提高了迁移学习模型精度,提升异常检测水平.以美国宇航局公开的两个航天器数据集为实验对象,利用提出的异常检测方法对该数据集异常状态进行识别,结果表明,与经典异常检测算法相比,引入迁移学习能明显提升模型性能,实验结果优于目前常见的异常检测模型,证明了方法的有效性.
本文研究正交控制力约束下,轨道平面外三星直线排列的绳系编队系统动力学特性.在非惯性坐标系下构建系统动力学模型,其中卫星和两根起连接作用系绳分别简化为质点和无质量弹簧,推导系统状态与系统动力学的解析关系式及对运动形式间临界状态的影响.提出一个三维动力学参数域以展示系统在任意轨道面内动力学,并通过数值仿真进行验证,结果显示解析计算结果与仿真结果完全一致.
随着各国航天活动的不断频繁,在轨失效卫星数量不断增长,为合理规划失效卫星的抢救与维修任务,尽快恢复失效卫星功能,需分析失效卫星的运动演化规律.但目前卫星上往往携带有各类柔性附件,其弹性振动与卫星的姿轨运动存在耦合,在运动演化过程中会不断耗散卫星能量,使卫星运动演化特性与传统刚体卫星不同.本文针对携带柔性附件的失效卫星,建立了适用于长期运动演化分析的姿态-振动耦合动力学模型,研究了卫星能量耗散与运动演化趋势之间的关系,并分析了能量耗散速率的影响因素.结果表明卫星初始角速度、柔性附件的安装位置、结构与材料特性对能量耗散速率影响较大,而柔性附件的初始振动状态对能量耗散速率的影响较小.
