航天器虚拟热试验平台的软件架构及其应用

针对我国目前航天领域型号试验任务重、成本高的特点,文章提出搭建航天器虚拟热试验平台以缩短型号研制周期、减少研发成本。虚拟热试验平台结构拟由5个单独模块组成:试验系统描述及边界条件输入模块,虚拟试验运算模块,模型修正模块,结果报表及经济性分析模块和虚拟试验数据库。另外提出了虚拟热试验平台在航天器真空热试验中的应用。     

基于局部Neymark分解的混沌信号与噪声的分离方法

从动力系统和几何的观点出发,提出了基于局部Ｎｅｙｍａｒｋ分解的混沌信号与噪声的分离方法。该方法在一个局部的轨道空间内进行Ｎｅｙｍａｒｋ分解,重构时消除由噪声引起的在某些方向上的错误分量,接着进行反嵌入,使得这一由于噪声影响而发生畸变的局部轨道得以纠正,达到混沌信号与噪声分离（以下简称混沌滤波）的目的,并对其中的反嵌入问题作了较为深入的讨论,仿真实验表明了本方法的有效性。     

Numerical Simulation of Rotor Flow Field Based on Overset Grids and Several Spatial and Temporal Discretization Schemes

A numerical method based on solutions of Euler/Navier-Stokes (N-S) equations is developed for calculating the flow field over a rotor in hover. Jameson central scheme, van Leer flux-vector splitting scheme, advection upwind splitting method (AUSM) scheme, upwind AUSM/van Leer scheme, AUSM+ scheme and AUSMDV scheme are implemented for spatial discretization, and van Albada limiter is also applied. For temporal discretization, both explicit Runge-Kutta method and implicit lower-upper symmetric Gauss-Seidel (LU-SGS) method are attempted. Simultaneously, overset grid technique is adopted. In detail, hole-map method is utilized to identify intergrid boundary points (IGBPs). Furthermore, aimed at identification issue of donor elements, inverse-map method is implemented. Eventually, blade surface pressure distributions derived from numerical simulation are validated compared with experimental data, showing that all the schemes mentioned above have the capability to predict the rotor flow field accurately. At the same time, vorticity contours are illustrated for analysis, and other characteristics are also analyzed.     

蝴蝶翼面形状对绕流结构的影响

蝴蝶的扑翼飞行因其相对翼展较大、扑翼频率低等特点引起广泛关注,尤其是具有越洋迁徙特性的蝴蝶更是备受瞩目。本文以天堂鸟翼凤蝶和黑脉金斑蝶这两种长距离迁徙蝴蝶作为研究原型,利用氢气泡流动显示技术研究这两种不同外形的蝴蝶翼面绕流结构随迎角的变化。在相同的实验条件下,两种模型翼面绕流均出现前缘涡、翼尖涡等流动结构,且绕流结构随迎角的变化趋势基本相同。但由于翼面外形的不同,两种模型在前缘涡的形态、强度及后翼面翼尖绕流结构等方面表现出一定的差异。     

高阶面元法计算多段翼型之位流

本文给出了一种求解多段翼型位流的高阶面元法。面元和奇点的分布分别采用了二阶和三阶的形式。由于高阶面元法较为精确地反映了绕流体的几何形状和奇点表面分布,本文给出了比低阶面元法更为精确的解,并且消除了低阶面元法计算中经常出现的翼型后缘处解的波动。     

Dynamic characteristics analysis of deployable space structures considering joint clearance

The clearance in joints influences the dynamic stability and the performance of deployable space structures (DSS). A virtual experimental modal analysis (VEMA) method is proposed to deal with the effects of joint clearance and link flexibility on the dynamic characteristics of the DSS in this paper. The focus is on the finite element modeling of the clearance joint, VEMA and the modal parameters identification of the DSS. The finite element models (FEM) of the clearance joint and the deployable structure are established in ANSYS. The transient dynamic analysis is conducted to provide the time history data of excitation and response for the VEMA. The fast Fourier transform (FFT) technique is used to transform the data from time domain to frequency domain. The frequency response function is calculated to identify the modal parameters of the deployable structure. Experimental verification is provided to indicate the VEMA method is both a cost and time efficient approach to obtain the dynamic characteristics of the DSS. Finally, we analyze the effects of clearance size and gravity on the dynamic characteristics of the DSS. The analysis results indicate that the joint clearance and gravity strongly influence the dynamic characteristics of the DSS.     

Controlling factors of Region 2 field-aligned current and its relationship to the ring current: Model results

One essential component of magnetosphere and ionosphere coupling is the closure of the ring current through Region 2 field-aligned current (FAC). Using the Comprehensive Ring Current Model (CRCM), which includes magnetosphere and ionosphere coupling by solving the kinetic equation of ring current particles and the closure of the electric currents between the two regions, we have investigated the effects of high latitude potential, ionospheric conductivity, plasma sheet density and different magnetic field models on the development of Region 2 field-aligned currents, and the relationship between R2 FACs and the ring current. It is shown that an increase in high latitude potential, ionospheric conductivity or plasma sheet density generally results in an increase in Region 2 FACs’ intensity, but R2 FACs display different local time and latitudinal distributions for changes in each parameter due to the different mechanisms involved. Our simulation results show that the magnetic field configuration of the inner magnetosphere is also an important factor in the development of Region 2 field-aligned current. More numerical experiments and observational results are needed in further our understanding of the complex relationship of the two current systems.     

自适应天线抗干扰性能研究

分析了适用于雷达抗干扰的一些自适应天线波束形成算法,将子空间正交投影算法应用于雷达抗干扰,针对子空间分解过程中特征向量不能完全正交的问题,采用约束化子空间分解算法,来保证子空间特征向量的正交性.最后通过仿真证明:子空间跟踪算法相对于传统的一些自适应算法具有更强的抗干扰性能.     

基于GA-ELM的飞行载荷参数识别

针对用复杂飞行数据识别飞行载荷时的精度低、速度慢等问题,提出一种结合遗传算法(GA)和极限学习机(ELM)的GA-ELM模型。该模型使用ELM神经网络作为计算核心,用遗传算法产生ELM网络输入层到隐含层的权值矩阵和隐含层偏移量;用GA-ELM模型对飞行数据进行识别,并与BP神经网络和原始ELM神经网络的识别结果进行对比。结果表明:GA-ELM模型是一种有效且高精度的飞行载荷参数识别方法。