Estimation of ground range on the sweep frequency backscatter leading edge

The high frequency management system with backscatter radar supplies the real time ionosphere channel conditions to high frequency users, which leads to the demand for the ground range between the radar location and the scatters on the distant ground. The ionosphere electron density profile is usually inversed to obtain the ground range. An inversion algorithm, with which the ground range on the leading edge of the backscatter ionograms can be obtained without electron density, is presented in this paper. The ray path geometry of the backscatter sounding and the change in the group path on the leading edge with operating frequency are used to derive the ground range. Synthesized backscatter ionogram and experimental backscatter ionograms are processed to validate the algorithm. The results indicate that the algorithm is usable for high frequency management system.     

数字水印防伪技术的研究和应用

本文采用数字水印技术,研究和开发了一种新的证件制作与检测方法技术体系,防伪性能高、识别准确快速。该项技术可广泛应用于证件和产品的防伪,具有极高的理论价值和实用价值。     

用于直升机现场计量的低频振动校准技术

本文面向直升机健康与使用监测系统(HUMS)的现场计量保障需求,针对其中振动传感器在低频段尚无法实现现场校准的现状,提出了基于直线电机驱动技术的便携式低频振动校准技术方案。该方案利用高精度直线电机构造低频标准振动源,采用稳定性高的石英挠性加速度计作为标准加速度计,具有体积小、精度高、现场环境适应性好的特点,非常适用直升机HUMS的现场计量保障。根据不确定度评估结果,该方案能够实现0.5Hz～20Hz频率范围,0.01m/s~2～20m/s~2加速度范围内不超过1%的校准不确定度(k=2)。     

频域盲源分离的非圆信号推广

作为盲源分离（BSS）问题的最有效解决方法之一,独立分量分析（ICA）算法可以分为时域和频域算法两类.将时域盲源分离的快速算法推广到频域,通过在频域中应用非圆信号的伪协方差矩阵,推导出一个新的固定点算法来解决线性瞬时混合的非圆信号盲源分离（BNSS）问题.仿真实验验证了该算法的有效性.     

大展弦比运输机标模高升力构型设计与评估

介绍了中国航空工业空气动力研究院基于分层策略遗传算法的多段翼型优化设计工具和高升力构型计算评估方法,参照国内外大展弦比运输机指标为FL-9增压风洞设计了高升力构型标模,为检验标模气动性能,在法国ONERA F1风洞进行了一系列风洞试验和采用UNSMB平台进行了数值模拟。结果显示计算结果与试验结果有着较好的一致性,设计方案具有较好的增升效果。     

一种非线性飞行控制律评估方法研究

研究了一种基于改进遗传算法的非线性评估方法。将非线性准则转换成简单的适应度函数,通过寻优找到最坏情况,在其基础上实现评估。仿真结果表明,该方法不仅能在各个飞行状态对飞行控制律进行非线性准则评估,而且能找出飞行包线内的最坏飞行状态,细化飞行包线,方法使用灵活,结果可靠。     

基于Volterra捕食模型的飞行流量动态调配

为缓解当前飞行流量需求与空域资源限制间的矛盾,改善静态流量分配方式下航路飞行流量限制问题,提出飞行流量动态调配概念并建立动态调配模型及算法.首先根据Volterra捕食模型的思想,以航路负荷值大小为依据划分种群,依据航路飞行流量的调配速度建立飞行流量的动态调配模型,然后提出实时流量动态调配算法,按时段周期性对航路的飞行流量重新划分种群,并根据航路当前状况对飞行流量进行动态调配.最后运用Matlab软件进行算例分析,结果表明了模型及算法的有效性,可以很好地应用于飞行流量的动态调配研究中.     

基于遗传算法的军事物流运输计划

针对军事物流运输中车辆装载和车辆路径的组合问题进行研究,建立车辆装载和车辆路径组合问题的目标优化模型。通过改进遗传算法对模型求解,得到了较为满意的结果,可以在满足多车型多品种货物配送约束的条件下,实现运输车辆最少、车辆满载率高、车辆运输路径最短的目标。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

旋翼桨叶动力学设计技术

桨叶动力学设计,其实质是求解非线性高维动力学逆问题的具体实施。本文较全面地阐述了这方面的进展情况,提出了切实可行、有效实用的数值方法。