基于S1000D的飞机系统原理图册编制方法研究

飞机系统原理图册(SSM)是辅助飞机排故及培训的重要手册,目前,传统纸质版SSM包含信息多,结构化程度低,查阅不变,理解困难,交互性差。为此,本文通过分析传统飞机系统原理图册的数据需求、生成过程及使用场景,基于S1000D标准结构化的思想,提出了飞机系统原理图册结构化教据存储方式及交互式编制使用方法。该方法应用S1000D的标准化信息分类及数据架构,将系统原理图册相关信息元素进行结构化转化,明确其逻辑关联关系及使用模式,一方面可以用于军民用飞机原理图册交互式电子技术手册(IETM)的研制,另一方面也为IETM拓展为综合保障信息系统提供参考。     

3He原子磁强计技术

~3He原子磁强计利用~3He核自旋的拉莫尔进动测量磁场,具有高精度、小体积等特点,可以满足未来网络化磁异常探测对高性能磁强计的需求。围绕~3He原子磁强计的技术特点,重点介绍了该磁强计的基本工作原理及其硬件组成,分析了其理论灵敏度,给出了该磁强计的国内外研究情况,最后对该磁强计技术的未来发展进行了展望。     

面向未知区域深度测量的序列图像稠密点特征生成算法

对未知着降区平坦度测量是无人机在复杂地形下安全着陆的关键问题。首先,根据小孔成像原理推导出基于单目序列图像的未知区域深度计算方程;其次,针对稀疏匹配存在深度信息重构误差大而稠密匹配在平滑区域误匹配率高的问题,提出一种基于Delaunay三角剖分的稠密点特征生成算法;然后,分别对序列图像中的2帧图像提取亚像素级Harris角点和尺度不变特征变换(SIFT)特征点,并分别进行特征点匹配;再以2种特征点间的欧氏距离作为约束条件将2种特征点进行融合,生成准稠密特征点;最后,将准稠密特征点进行Delaunay三角剖分,并根据每个剖分三角形上3个顶点像素偏差的方差值制定稠密特征点的生成策略,并结合所提出的深度计算方程计算整个未知区域各点的深度信息。通过Vega Prime(VP)搭建仿真演示验证系统,实验结果表明在机载相机距地面400m处计算高度分别为90m和55m的物体深度信息时,其深度测量相对误差不超过0.89%,具有较高的精度。     

一种减少失速保护虚警率的混合滤波方法

针对飞机失速保护设计过程中易出现虚警的情况,提出一种基于FIR和传统滤波器相结合的混合滤波方法。结合飞机本体的运动特征,对参与失速保护逻辑运算的两个重要参数,即侧向加速度和迎角信号进行频率分析,基于信号的特征设计混合滤波器,然后采用Simulink滤波工具箱设计滤波器对信号进行滤波处理。仿真结果表明该方法能够减少虚警率的发生,特别是大背景噪声下的虚警率能够得到较好抑制,验证了滤波器设计正确性,从而提高失速保护功能对适航条款符合性。该滤波器设计方法,不但可以有效解决本文提到的问题,对于其他涉及信号处理的系统设计同样具有借鉴意义。     

Numerical analysis and optimization of boundary layer suction on airfoils

Numerical approach of hybrid laminar flow control(HLFC) is investigated for the suction hole with a width between 0.5 mm and 7 mm. The accuracy of Menter and Langtry’s transition model applied for simulating the flow with boundary layer suction is validated. The experiment data are compared with the computational results. The solutions show that this transition model can predict the transition position with suction control accurately. A well designed laminar airfoil is selected in the present research. For suction control with a single hole, the physical mechanism of suction control, including the impact of suction coefficient and the width and position of the suction hole on control results, is analyzed. The single hole simulation results indicate that it is favorable for transition delay and drag reduction to increase the suction coefficient and set the hole position closer to the trailing edge properly. The modified radial basis function(RBF) neural network and the modified differential evolution algorithm are used to optimize the design for suction control with three holes. The design variables are suction coefficient, hole width, hole position and hole spacing. The optimization target is to obtain the minimum drag coefficient. After optimization,the transition delay can be up to 17% and the aerodynamic drag coefficient can decrease by 12.1%.     

Specific grinding energy and surface roughness of nanoparticle jet minimum quantity lubrication in grinding

Nanoparticles with the anti-wear and friction reducing features were applied as cooling lubricant in the grinding fluid. Dry grinding, flood grinding, minimal quantity of lubrication（MQL）, and nanoparticle jet MQL were used in the grinding experiments. The specific grinding energy of dry grinding, flood grinding and MQL were 84, 29.8, 45.5 J/mm³, respectively. The specific grinding energy significantly decreased to 32.7 J/mm³ in nanoparticle MQL. Compared with dry grinding, the surface roughness values of flood grinding, MQL, and nanoparticle jet MQL were significantly reduced with the surface topography profile values reduced by 11%, 2.5%, and 10%,respectively, and the ten point height of microcosmic unflatness values reduced by 1.5%, 0.5%,and 1.3%, respectively. These results verified the satisfactory lubrication effects of nanoparticle MQL. MoS₂, carbon nanotube（CNT）, and ZrO₂ nanoparticles were also added in the grinding fluid of nanoparticle jet MQL to analyze their grinding surface lubrication effects. The specific grinding energy of MoS₂ nanoparticle was only 32.7 J/mm³, which was 8.22% and 10.39% lower than those of the other two nanoparticles. Moreover, the surface roughness of workpiece was also smaller with MoS₂ nanoparticle, which indicated its remarkable lubrication effects. Furthermore,the role of MoS₂ particles in the grinding surface lubrication at different nanoparticle volume concentrations was analyzed. MoS₂ volume concentrations of 1%, 2%, and 3% were used.Experimental results revealed that the specific grinding energy and the workpiece surface roughness initially increased and then decreased as MoS₂ nanoparticle volume concentration increased.Satisfactory grinding surface lubrication effects were obtained with 2% MoS₂ nanoparticle volume concentration.     

嫦娥三号着陆器统计定位精度分析

“嫦娥三号”将在月球放置着陆器,实现月面软着陆,因此,需要对着陆器进行精确定位.本文简述了月球着陆器的统计定位方法与协方差分析理论,分析了影响统计定位精度的主要误差源.基于现有测控条件,从跟踪弧段和测量数据组合2个方面,对“嫦娥三号”着陆器的定位精度进行了分析.针对短弧条件下单站测距数据定位不稳键的问题,提出了结合月面高程约束的定位方法.协方差分析结果表明：高程数据的使用可以实现单站30 min测距优于1 km的定位精度;当观测数据累积至3d时,单站测量与VLBI（Very Long Baseline Interferometry,甚长基线干涉测量）的不同组合可以实现同等量级、优于百m的定位精度;测量系统差是制约定位精度的主要因素,完全标校测量的系统偏差则能实现10 m左右的定位精度.     

基于我国深空站三向测量模式的数据精度分析

为了验证我国深空站三向测量模式的正确性,以同步星跟踪试验中的测量数据为基础,建立了站间同步修正算法和三向测量观测模型,通过与同步卫星的精密星历反算测量值比较,得到了测量数据的标定参数,结果表明,我国深空站测控能够实现dm级的测量精度,明显优于“嫦娥二号”测量的水平;同时利用测量数据进行定轨策略分析,最终实现了10 m量级的同步卫星定轨精度.分析结果为“嫦娥三号”探测器实施有效测控提供了依据.     

基于概率统计的DS/FH系统干扰检测算法

基于时频分布的干扰检测算法是DS/FH（Direct Sequence/Frequency Hopping,直接序列扩频/跳频扩频）系统干扰检测的传统手段,针对其运算量大、实时性差,以及无法检测某些特殊干扰信号等问题,提出一种基于概率统计的干扰检测算法.通过统计DS/FH系统频谱图中各频率的幅值出现位置,以DS/FH信号与干扰信号频谱分布规律的差别为判决依据,完成DS/FH系统中干扰信号的检测.分析和仿真结果表明：该检测算法能够有效识别DS/FH系统中的典型干扰信号,与传统基于时频分布的检测算法相比,能够实现某些特殊干扰信号的有效检测;同时,由于该算法不需要进行复杂的时频联合分析,其运算复杂度大大降低,能够实现DS/FH系统干扰信号的快速检测.     

无线电高度表信号模拟器射频信号延时/衰减模块设计

无线电高度表程控信号模拟器是无线电高度表自动测试系统（ATE,ATS）的重要组成部分,而射频信号延时/衰减模块则是无线电高度表程控信号模拟器3个功能模块组件中的核心模块。研制了一种采用声表面波（SAW）延迟线作为射频信号延时器件、射频衰减器作为射频信号功率衰减器件,通过程控射频开关控制不同声表面波延迟线的切换,包含射频信号变频、放大等结构电路的无线电高度表信号模拟器射频信号延时/衰减模块。经无线电高度表自动测试系统的实际工程应用表明,该无线电高度表射频信号延时/衰减模块对C波段（4.2～4.4 GHz）射频调制信号的延时精度高、衰减范围大,体小、质轻,适合置于无线电高度表测试适配器内部使用,具有较高的工程应用价值。