空间稳定型捷联惯导系统静态误差分析

定量分析空间稳定型捷联惯导系统的误差传播特性,以便实现惯导系统对战术技术指标及元部件对自身精度指标的设定要求.首先设计了一种用于地球表面导航的船用空间稳定型捷联惯导系统方案,然后通过求解静基座状态下的该种捷联惯导系统误差方程,分析了陀螺常值漂移以及加速度计零偏对空间稳定型捷联惯导系统的影响.理论分析以及实物试验表明陀螺常值漂移会造成经度误差随时间线性增长,其它导航信息按舒勒频率和地球频率等幅振荡传播.     

A high-performance ground-based prototype of horn-type sequential vegetable production facility for life support system in space

Vegetable cultivation plays a crucial role in dietary supplements and psychosocial benefits of the crew during manned space flight. Here we developed a ground-based prototype of horn-type sequential vegetable production facility, named Horn-type Producer (HTP), which was capable of simulating the microgravity effect and the continuous cultivation of leaf–vegetables on root modules. The growth chamber of the facility had a volume of 0.12 m³, characterized by a three-stage space expansion with plant growth. The planting surface of 0.154 m² was comprised of six ring-shaped root modules with a fibrous ion-exchange resin substrate. Root modules were fastened to a central porous tube supplying water, and moved forward with plant growth. The total illuminated crop area of 0.567 m² was provided by a combination of red and white light emitting diodes on the internal surfaces. In tests with a 24-h photoperiod, the productivity of the HTP at 0.3 kW for lettuce achieved 254.3 g eatable biomass per week. Long-term operation of the HTP did not alter vegetable nutrition composition to any great extent. Furthermore, the efficiency of the HTP, based on the Q-criterion, was 7 × 10⁻⁴ g² m⁻³ J⁻¹. These results show that the HTP exhibited high productivity, stable quality, and good efficiency in the process of planting lettuce, indicative of an interesting design for space vegetable production.     

可靠性设计优化的球空间设计法

可靠性设计优化（RBDO）在航空航天等领域已经被广泛应用,具有显著提高可靠性的效果;然而它包含两个迭代循环-总体优化循环和可靠性分析循环,双循环求解方法效率低下甚至难以承受。本文提出一种可以提高可靠性设计优化求解效率的方法-球空间设计法,该方法可以方便地表达搜索区域,最大可能失效点可以从极值点处精确获取;同时,该方法可以将总体优化以及可靠性分析同步进行。本文所提出的球空间法的有效性将通过2个算例进行测试,测试结果表明该方法不仅精度与同类方法持平,求解效率有明显提升,它将会对提高航空航天装备如卫星、火箭、飞行器等产品的可靠性提供更为有效的方法和技术支持。     

惯性坐标系下的旋翼气弹稳定性建模

为了较好地描述直升机铰接式、无铰式及无轴承式旋翼的动力学特性,本文根据Hamilton原理。采用中等变形粱理论,用Chopra的15自由度有限元梁元进行离散,并将挥舞、摆振和变距铰运动作为广义坐标,采用二维准定常气动力模型,直接在惯性坐标系下,建立了旋翼气弹分析的动力学模型,并用Pitt—Peters动态入流模型计入动态入流对稳定性的影响。本文基于惯性坐标系的旋翼气弹建模方法简化了建模,方便地嵌入了动态入流模型。通过与Princeton粱实验数据、ITR旋翼试验数据和直升机分析软件UMARC的计算值的对比,验证了本气弹分析模型的正确性,指出误差来源于气动模型。     

基于信息融合的网络安全态势量化评估方法

针对目前网络安全态势评估大多存在信息来源单一、评估范围有限、模型不易构建、时空开销大且可信度较低等问题,提出了一种多源异构信息融合量化评估网络安全态势的方法。首先,构建分级朴素贝叶斯分类器,快速高效地融合主机上各多源异构非确定性信息源。然后,利用拉普拉斯原理平滑参数学习,优化分类与推理结果。使用数理统计的方法融合网络上各主机的安全指数,量化评估网络安全态势,对当前网络安全状况有一个宏观整体的认识。最后,通过真实网络环境的实验,验证了所提方法在网络安全态势评估中的可行性和有效性。      

碳化硅反射镜柔带磨削方案设计与验证

碳化硅材料比刚度高、导热性好、热稳定性好,是一种优良的反射镜材料,在空间光学遥感器是有着广泛的使用。同时,它具有硬度高、脆性大的特点,给反射镜加工带来困难,且加工周期长。本文比较了碳化硅材料不同加工技术的优缺点,选择了机器人柔性砂带磨削技术作为研究对象。针对某1550mm直径碳化硅反射镜坯加强筋的去除要求,设计了一套新型机器人柔带磨削系统,利用有限元方法对加工中的镜体应力进行了分析,并完成了某镜坯加强筋的去除,残余筋高度0.5mm～1mm。反射镜镜坯在完成镜面精磨、镀膜等处理后,利用干涉仪测试面形RMS 为0.0157λ（λ=632.8 nm）,满足使用需求。遥感器于2020年发射,反射镜在轨运行表现良好。     

B-SURF三维CAD系统及其在无人机研制中的应用

本文所讨论的B-SURF三维CAD系铣包括3-D几何设计与外形数值计算、3-D图形变换及处理、数控绘图与数控加工自动编程等部分,能实现CAD/CAM方面的十个功能。该系统以造型能力较强的重节点非均匀B样条方法为基础,并把重节点的信息应用到后置处理中去,以充分体现出该方法的优越性。系统具有一定的通用性,可用于无人机、轻小型飞机、汽车及其它具有复杂外形产品的几何设计与制造。     

基于Abaqus-Isight的飞机舱门密封件的联合优化设计

为了适应飞机舱门密封件研制周期较短以及正向设计的发展趋势,基于Abaqus-Isight软件对飞机舱门密封件进行仿真分析和优化设计,同时校准了材料参数,提出了两种对飞机舱门密封件的优化设计方法,通过对比得到更优的密封件结构。通过试验得到橡胶与织物的材料参数,基于Abaqus-Isight对材料参数进行校核,通过试验得到的压缩试验曲线对材料参数进行修正,得到与成品试验拟合度更高的材料参数;基于Abaqus-Isight对飞机舱门密封件进行DOE正交试验优化设计,将产品结构参数作为变量,压缩力、接触压力、摩擦损耗能作为优化目标,可以得到局部最优结构;将DOE正交试验结果拟合得到近似模型,通过Isight的近似模型算法得到全局最优结构,综合评估采用近似模型算法能够得到更为优异的结果。     

Very low frequency interferometry for the Chang’E-2 project

Very low frequency interferometry among two astronomical experiments has been proposed and accepted for further study for the second phase of China’s lunar exploration programme (the Chang’E Programme), which is envisaged to operate a lander and a rover on the surface of the moon. This experiment is an interferometer experiment in the very low frequency (VLF, f < 15 MHz) regime of radio frequencies with at least degree-level angular resolution. The goals include observing solar storm activities, Coronal Mass Ejections, Auroral Kilometric Radiation, and planetary radiation in the solar system, studying the origin of Cosmic Rays, spectral properties of pulsars, surveying ionized hydrogen in the Galaxy, and exploring coherent radio emissions.     

Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.