增强型整体-局部高阶理论四边形单元层合板自由边分析

基于增强型整体-局部高阶理论,构造了四节点四边形单元并分析复合材料自由边拉伸问题.本理论预先满足层合板面内位移和层间应力连续条件及层合板上下自由表面条件,未知变量个数不依赖于层合板的层数.精化四节点四边形单元满足单元间C1弱连续性条件.数值结果表明,基于增强型整体-局部高阶理论构造的四边形单元能够精确分析自由边拉伸问题.层间横向剪切应力能够直接从本构方程中计算得出,而横向法应力则需在一个单元内使用局部三维平衡方程.     

跨声速风扇叶片反扭影响因素研究

基于结构几何非线性大变形的静态分析和流场分析,使用叶片反扭设计的流固双向耦合的数值模拟方法,得到NASA Rotor67跨声速风扇叶片的冷态加工叶型。研究了材料、气动工况、转速对叶片静态变形和反扭设计参数的影响。结果表明:转速对叶片反扭的影响最显著,气动工况次之,材料的影响最弱;另外,这三种因素和叶片反扭的关系,与其和叶片静变形量的关系有较大相关性。     

基于脉冲子结构的探测器结构动力学优化设计

针对传统结构优化设计中，精细化模型求解复杂结构动响应过于耗时的问题，引入保精度、高效的脉冲子结构方法，提出一种考虑结构动力学响应的优化设计流程，并对月球探测器太阳翼结构进行优化分析，获得了太阳翼结构设计参数，有效地提高了太阳翼动力学特性指标，改善了月球探测器关键位置处的动力学环境。结果表明，脉冲子结构方法可以有效应用于航天器结构动力学优化设计，提高优化设计效率，所得优化结果对实际结构设计具有一定指导意义。     

天籁射电阵的空间碎片探测性能分析

提出以曲靖非相干散射雷达作为一种可能的发射源与天籁射电阵组成一套双基地雷达空间碎片探测系统，对该系统的空间碎片探测性能进行计算与仿真分析，包括可探测目标雷达散射截面积(RCS)、天籁射电阵对空间目标与碎片探测时间、探测效率等。分析表明，该系统具有探测直径10 cm以下级空间小碎片的潜力，并在最后提出了一种基于该系统的交叉波束的确定方法及对空间碎片定位的方法。     

开关电源拓扑在飞轮控制系统中的应用综述

卫星在轨运行时,在光照区/阴影区下,卫星电源母线电压差异较大,飞轮在高转速运行时,电机反电势较高,为了满足需求,具有升压功能的开关电源拓扑在飞轮控制系统中得到了有效应用。介绍了几种常用的非隔离型/隔离型拓扑结构,为未来飞轮控制系统的设计提供了有实际意义的应用思路。     

Online scheduling of image satellites based on neural networks and deep reinforcement learning

In the ‘‘Internet Plus" era, space-based information services require effective and fast image satellite scheduling. Most existing studies consider image satellite scheduling to be an optimization problem to solve with searching algorithms in a batch-wise manner. No real-time speed method for satellite scheduling exists. In this paper, with the idea of building a real-time speed method, satellite scheduling is remodeled based on a Dynamic and Stochastic Knapsack Problem(DSKP), and the objective is to maximize the total expected profit. No existing algorithm could be able to solve this novel scheduling problem properly. With inspiration from the recent achievements in Deep Reinforcement Learning(DRL) in video games, AlphaGo and dynamic controlling,a novel DRL-based method is applied to training a neural network to schedule tasks. The numerical results show that the method proposed in this paper can achieve relatively good performance with real-time speed and immediate respond style.     

空间失稳目标线阵成像畸变分析与三维重建

针对线阵扫描型激光雷达在非合作失稳航天器三维模型重建过程中，存在运动目标线扫数据畸变且目标因失稳导致运动特性难以准确估计问题，提出一种带畸变自修正式三维重建方法，并进行畸变容忍度临界值分析。该方法基于测量系统的角精度与测距精度设计畸变容忍度临界值判定条件，首先根据实际工况与判定条件进行比对，判定是否对线扫数据进行初始畸变恢复；其次，对相邻扫描带畸变点云依次进行配准获取目标运动增量、解算目标瞬时运动参数；然后对目标运动参数进行自修正式处理，去除特征突变点干扰；同时依次恢复点云到初始几何位置，完成初始目标三维重建；最后，通过系统进一步迭代，位姿增量自收敛直至最终满足重建精度要求。仿真结果表明，该方法在缺失非合作目标先验信息的情况下，能够有效避免因线扫描导致的畸变问题，并较为快速地实现满足精度要求的目标三维重建，有较强的鲁棒性。     

一种基于模糊聚类模型的动量轮健康性排序方法

基于模糊聚类分析提出一种动量轮健康性排序方法，选取实际型号任务中50N·m·s动量轮的地面测试数据与在轨数据，对数据处理后，研究闭环工况动量轮动态转速的电机电流，利用相关系数法将其转换为模糊相似矩阵，聚类分析动量轮健康性最大阈值；同时以最大阈值为标准，设计判断准则，用4个动量轮的数据验证该方法的实用性并与峭度试验方法进行对比。结果表明：该方法可以准确对动量轮健康性进行排序。     

A shadow function model based on perspective projection and atmospheric effect for satellites in eclipse

Accurate Solar Radiation Pressure (SRP) modelling is critical for correctly describing the dynamics of satellites. A shadow function is a unitless quantity varying between 0 and 1 to scale the solar radiation flux at a satellite’s location during eclipses. Errors in modelling shadow function lead to inaccuracy in SRP that degrades the orbit quality. Shadow function modelling requires solutions to a geometrical problem (Earth’s oblateness) and a physical problem (atmospheric effects). This study presents a new shadow function model (PPM_atm) which uses a perspective projection based approach to solve the geometrical problem rigorously and a linear function to describe the reduction of solar radiation flux due to atmospheric effects. GRACE (Gravity Recovery And Climate Experiment) satellites carry accelerometers that record variations of non-conservative forces, which reveal the variations of shadow function during eclipses. In this study, the PPM_atm is validated using accelerometer observations of the GRACE-A satellite. Test results show that the PPM_atm is closer to the variations in accelerometer observations than the widely used SECM (Spherical Earth Conical Model). Taking the accelerometer observations derived shadow function as the “truth”, the relative error in PPM_atm is ?0.79% while the SECM 11.07%. The influence of the PPM_atm is also shown in orbit prediction for Galileo satellites. Compared with the SECM, the PPM_atm can reduce the radial orbit error RMS by 5.6?cm over a 7-day prediction. The impacts of the errors in shadow function modelling on the orbit remain to be systematic and should be mitigated in long-term orbit prediction.