基于几何特征的飞行器RCS高效计算方法(英文)

Taking into account the influences of scatterer geometrical shapes on induced currents, an algorithm, termed the sparse-matrix method （SMM）, is proposed to calculate radar cross section （RCS） of aircraft configuration. Based on the geometrical characteristics and the method of moment （MOM）, the SMM points out that the strong current coupling zone could be predefined according to the shape of scatterers. Two geometrical parameters, the surface curvature and the electrical space between the field position and source position, are deducted to distinguish the dominant current coupling. Then the strong current coupling is computed to construct an impedance matrix having sparse nature, which is solved to compute RCS. The efficiency and feasibility of the SMM are demonstrated by computing electromagnetic scattering of some kinds of shapes such as a cone-sphere with a gap, a bi-arc column and a stealth aircraft configuration. The numerical results show that： （1） the accuracy of SMM is satisfied, as compared with MOM, and the computational time it spends is only about 8% of the MOM; （2） with the electrical space considered, making another allowance for the surface curvature can reduce the computation time by 9.5%.     

Evaluation of active hybrid fuel cell/battery power sources

Hybrid fuel cell/battery power sources have potentially widespread uses in applications wherein the power demand is impulsive rather than constant. Interposing a dc/dc converter between a fuel cell and a battery can create two configurations of actively controlled hybrid fuel cell/battery power sources. Those two configurations are compared using both theory and experiment with special attention to the peak power enhancement, and power losses in the converter. Both of the defined configurations were built, using a 35 W polymer electrolyte membrane (PEM) fuel cell, an 8-cell lithium-ion battery pack, and a high-efficiency power converter. Both two configurations yielded a peak power output of 135 W, about 4 times as high as the fuel cell alone could supply, with only a slight (13%) increase of weight. The converter losses were quantitatively analyzed. Which of the two configurations yields a smaller loss depends on the load power demand characteristics including peak power and load duty ratio. The study results provide guidance for the design of hybrid sources according to the particular load power requirements.     

全色图像像质与军事效用

遥感图像的军事效用即图像判读解译能力取决于像质,是像元分辨率、图像调制传递函数值(MTF)、信噪比等的函数,与设计参数的选取,制造的精度,运行的状态,图像处理水平密切相关.     

单通道SAR实现ATI动目标检测的新方法

研究了采用单通道合成孔径雷达(SAR,Synthetic Aperture Radar)多视沿航迹向干涉(ATI,Along Track Interferometry)实现地面慢速运动目标指示的检测方法.分析了该方法所需的步骤,即利用重叠或不重叠的窗构造子视,对子视分别成像,相位误差校正并求干涉.关于其中起关键作用的相位误差校正步骤,提出了利用信号子空间投影进行相位配准的补偿方法.借助该鲁棒的自适应方法可以从某种程度上解决子图像间的去相关问题,降低相位随机性的影响,从2幅子视图像的干涉相位图上敏锐地检测到运动目标.通过仿真实验,验证了该方法可以有效地从强杂波中检测动目标,为单通道SAR实现地面运动目标指示(GMTI,Ground Moving Target Indication)、扩展已有SAR系统功能提供可靠的途径.      

整体离心叶轮的形状优化设计

本文对离心叶轮的形状优化设计过程进行了研究。提出了整体叶轮结构分析的一种有效的方法, 探讨了其优化数学模型的建立方法, 包括设计变量的选择、目标函数的确定及约束条件的选取。并对某压气机离心叶轮进行了优化, 有效地减轻了叶轮的重量。      

舰面直升机旋翼瞬态气弹响应分析

建立了舰面直升机起动和停车过程中的旋翼瞬态气弹响应分析方法,在桨叶结构建模中考虑了桨叶的挥舞、摆振、扭转和拉伸变形并计入了桨叶重量影响和因旋翼速度变化产生的惯性力。桨叶气动力计算采用时域非定常空气动力计算模型,包括非线性分离和动态失速的影响。用实验数据对分析方法进行了验证。      

神经外科手术机器人灵活性分析

开发了用于神经外科手术的五自由度机器人BH600.从神经外科立体定向手术的需求出发,分析了该机器人的灵活性.用服务球和服务区概念给出了五自由度机器人工作空间任意点的灵活度定义,提出了工作空间灵活性的分析方法.通过数值计算和图形显示给出了工作空间的灵活度分布,采用机器人物理样机进行实验,对分析结果进行了验证.掌握灵活度的空间分布,可以为手术路径规划提供可靠的依据.      

使用GAO-YONG湍流方程组对扩压器流动的计算

采用基于同位网格的SIMPLE方法求解GAO-YONG不可压湍流方程组,对二维扩压器流动进行了数值模拟.通过界面速度动量插值法解决了压力锯齿波问题,并且采用了正交贴体网格和二阶QUICK格式离散对流项以提高计算精度.与实验结果以及BL(Baldw-Lomax)模型计算结果的比较表明,不需要任何经验系数及壁面函数的GAO-YONG不可压湍流模型方程组能够对有压力梯度的湍流流动做出很好的预测.计算发现,在机械能方程中引入平均流压力梯度的作用,对GAO-YONG湍流方程组正确模拟逆压力梯度流动起到了关键作用.      

一种水下使用的大型排水气囊

文章主要介绍了一种大体积高强度排水气囊的工作程序、组成、地面试验的情况及其已达到的技术指标。     

Comprehensive outage compensation of real-time orbit and clock corrections with broadcast ephemeris for ambiguity-fixed precise point positioning

The main challenge in real-time precise point positioning (PPP) is that the data outages or large time lags in receiving precise orbit and clock corrections greatly degrade the continuity and real-time performance of PPP positioning. To solve this problem, instead of directly predicting orbit and clock corrections in previous researches, this paper presents an alternative approach of generating combined corrections including orbit error, satellite clock and receiver-related error with broadcast ephemeris. Using ambiguities and satellite fractional-cycle biases (FCBs) of previous epoch and the short-term predicted tropospheric delay through linear extrapolation model (LEM), combined corrections at current epoch are retrieved and weighted with multiple reference stations, and further broadcast to user for continuous enhanced positioning during outages of orbit and clock corrections. To validate the proposed method, two reference station network with different inter-station distance from National Geodetic Survey (NGS) network are used for experiments with six different time lags (i.e., 5 s, 10 s, 15 s, 30 s, 45 s and 60 s), and one set of data collected by unmanned aerial vehicle (UAV) is also used. The performance of LEM is investigated, and the troposphere prediction accuracy of low elevation (e.g., 10–20degrees) satellites has been improved by 44.1% to 79.0%. The average accuracy of combined corrections before and after LEM is used is improved by 12.5% to 77.3%. Without LEM, an accuracy of 2–3 cm can be maintained only in case of small time lags, while the accuracies with LEM are all better than 2 cm in case of different time lags. The performance of simulated kinematic PPP at user end is assessed in terms of positioning accuracy and epoch fix rate. In case of different time lags, after LEM is used, the average accuracy in horizontal direction is better than 3 cm, and the accuracy in up direction is better than 5 cm. At the same time, the epoch fix rate has also increased to varying degrees. The results of the UAV data show that in real kinematic environment, the proposed method can still maintain a positioning accuracy of several centimeters in case of 20 s time lag.