KrF激光对高速飞片的驱动特性研究

利用诱导空间非相干技术平滑的KrF准分子（248nm）激光驱动带有烧蚀层的平面靶，研究激光空间均匀性对产生完整飞片的影响，结果表明激光不均匀性在2％以下，能够产生完整的高速飞片，且完整飞片能够维持20ns以上不破裂；当激光不均匀性达到5％，激光引入流体力学不稳定性种子应很强，冲击波在靶内输运过程中不稳定性不断发展增强，到靶背时强到足以使飞片解体甚至气化，不能产生完整的飞片。为了获得尽可能高的飞片速度，采用激光与烧蚀层参数不匹配方法，使冲击波对飞片作多次加速。利用功率密度为1012 W/cm2的KrF激光与含50μm Kapton烧蚀层的5μm铝飞片作用，得到速度约10km/s的高速飞片，与模拟结果吻合得很好。     

飞翼布局无人机舵面分配算法研究

针对某飞翼式无人机飞行过程中出现舵面破损情况,提出了一种具有容错能力的舵面权限动态分配算法。针对舵面无故障和副翼两侧完全破损故障,分析比较了典型舵面分配算法和动态分配算法的性能。分析结果表明:舵面无故障时,在满足约束条件的情况下,由动态分配算法实现的舵面分配其滚转和俯仰操纵力矩可达范围大于由典型舵面分配算法实现的,有利于克服较大的俯仰或滚转干扰,而在升降舵或者副翼出现破损故障时具有更强的容错能力。     

In-orbit operation and performance of the CubeSat Soft X-ray polarimeter PolarLight

PolarLight is a compact soft X-ray polarimeter onboard a CubeSat, which was launched into a low-Earth orbit on October 29, 2018. In March 2019, PolarLight started full operation, and since then, regular observations with the Crab nebula, Sco X-1, and background regions have been conducted. Here we report the operation, calibration, and performance of PolarLight in the orbit. Based on these, we discuss how one can run a low-cost, shared CubeSat for space astronomy, and how CubeSats can play a role in modern space astronomy for technical demonstration, science observations, and student training.     

压剪联合载荷作用下复合材料壁板屈曲及后屈曲性能计算与优化方法研究

复合材料壁板被广泛用于航空航天结构,在外部复杂工况下壁板通常会受到面内压剪载荷的联合作用,其屈曲及后屈曲响应直接影响此类结构的极限承载能力。为此,基于改进的Koiter摄动理论,提出一种能够快速精确地开展复合材料壁板非线性屈曲分析的摄动有限元降阶方法,然后计算获得壁板的屈曲/后屈曲性能指标,即非线性屈曲载荷、后屈曲承载刚度以及承载刚度残余系数,最后将摄动降阶方法嵌套到复合材料铺层优化的分析流程中,获得压剪联合载荷下各种屈曲/后屈曲性能指标的最优铺层信息。数值算例验证了所提出方法的高效性和有效性。     

XQR2V3000 FPGA单粒子翻转率在轨探测研究

通过搭载在某MEO、IGSO轨道卫星上的单粒子探测器对XQR2V3000 FPGA配置存储器进行了在轨单粒子翻转探测。利用一种基于复位计数统计的FPGA配置存储器单粒子翻转的监测方法，并对在2016年太阳活动平静期以及2017年9月6日太阳耀斑爆发期的2颗MEO卫星以及1颗IGSO卫星的XQR2V3000 FPGA配置存储器单粒子翻转次数进行统计，依据卫星轨道根数获得了翻转事件的空间分布。结果表明，在太阳平静期，设备等效铝屏蔽厚度为6 mm的情况下，处于MEO轨道和IGSO轨道的XQR2V3000配置存储器单粒子翻转率分别为 0.513 次/(器件·天)和0.491次/(器件·天)，分别为CREME96模型预测结果的22.4%和16.9%，两种轨道的翻转率相当。在太阳耀斑爆发期间，MEO与IGSO轨道单粒子翻转率分别上升为2.5次/(器件·天)和 5次/(器件·天) ，比平静期高了一个数量级。试验所得的单粒子翻转率可为相同轨道卫星电子设备单粒子翻转率的预示提供有效的参考。     

基于NIRGAM的片上网络性能仿真

采用虫孔交换和虚拟通道技术的片上网络系统(NoC)能极大地降低传输延时,防止微片拥塞,增大网络吞吐率,从体系结构上解决了总线通信技术的瓶颈。片上网络的虚拟通道由多个缓冲区组成,其数目直接影响芯片的面积,必须通过仿真得到面积和缓冲区数目的平衡。使用NIRGAM仿真器对不同缓冲区数目的 2D Mesh片上网络进行了仿真,对其源代码中几个重要参数提出了修改建议,仿真结果表明,在本文配置的通信情况下缓冲区深度为4微片时NoC系统整体性能最好。     

Simulation of unsteady combustion in a LOX-GH2 fueled rocket engine

This paper presents results from an investigation of unsteady combustion inside a small-scale, multi-injector liquid rocket engine. A time-accurate approach in an axisymmetric geometry is employed to capture the unsteady flow features, as well as the unsteady heat transfer to the walls of the combustion chamber. Both thermally perfect gas (TPG) and real gas (RG) formulations are evaluated for this LOX-GH₂ system. The Peng–Robinson cubic equation of state (EoS) is used to account for real gas effects associated with the injection of oxygen. Realistic transport properties are computed but simplified chemistry is used in order to achieve a reasonable turnaround time. Results show the importance of the unsteady dynamics of the flow, especially the interaction between the different injectors. The RG EoS, despite a limited zone of influence, is shown to govern the overall chamber behavior. The sensitivity of the results to changes in the system parameters is studied and some general trends are discussed. Although several features of the simulations agree well with past experimental observations, prediction of heat flux using a simplified flux boundary condition is not completely satisfactory. Reasons for this discrepancy are discussed in the context of the current axisymmetric approach.     

Robust Design of Supercritical Wing Aerodynamic Optimization Considering Fuselage Interfering

Robust optimization approach for aerodynamic design has been developed and applied to supercritical wing aerodynamic design. The aerodynamic robust optimization design system consists of genetic optimization algorithm, improved back propagation (BP) neural network and deformation grid technology. In this article, the BP neural network has been improved in two major aspects to enhance the training speed and precision. Uniformity sampling is adopted to generate samples which will be used to establish surrogate model. The testing results show that the prediction precision of the improved BP neural network is reliable. On the assumption that the law of Mach number obeys normal distribution, supercritical wing configuration considering fuselage interfering of a certain aerobus has been taken as a typical example, and five design sections and twist angles have been optimized. The results show that the optimized wing, which considers robust design, has better aerodynamic characteristics. What's more, the intensity of shock wave has been reduced.     

基于时延估计的空间机器人无模型姿态解耦控制

针对空间机器人的基—臂姿态耦合问题,提出一种基于时延估计(TDE)的无模型解耦控制方法,以实现机械臂与基体的协调运动。首先,采用复合刚体动力学建模方法建立系统动力学模型。然后,分析动力学耦合特性,从多输入多输出(MIMO)角度出发,设计基于时延估计的无模型解耦控制器,实现机械臂关节轨迹精准跟踪与基体姿态稳定控制。最后,采用数值仿真方式,对比经典的基于模型解耦控制方法,即计算力矩控制(CTC),结果表明基于时延估计的无模型控制方法不仅效率更高,且解耦效果更好。