基于RBF神经网络的数字模式识别方法

在介绍径向基函数神经网络基本原理的基础上,讨论了基于 RBF 的数字模式识别的设计及其原则,包括识别数字网络模型结构、最近聚类学习算法等问题。     

一种改进的FMCW SAR RD成像算法

FMCWSAR将调频连续波与合成孔径成像技术结合于一体,是一种新近被提出来的成像雷达体制,它以其体积小、重量轻、成本低、分辨率高等一系列优点,引起越来越多的关注。然而,在FMCWSAR系统中,雷达连续不断地发射信号,调制信号周期相对较长,停一走（STOP AND GO）近似不再成立,所以要用合适的算法来实现成像。针对FMCW SAR的特点,详细推导了停一走近似失效时FMCW SAR的信号模型及处理过程,提出了一种改进的RD算法。此方法是通过补偿连续运动引入的多普勒频移,消除连续运动的影响。     

非牛顿特性对重载点接触热弹流润滑的影响

采用近似完全数值解法对HKD-1型航空润滑油进行了重载点接触热弹流分析,将两种不同流变模型下的计算结果进行比较,并进行了试验验证.结果表明:重载情况下,润滑油的非牛顿特性较显著,非牛顿特性对于弹流润滑中润滑油的温度、剪应力和拖动力影响较大,对压力分布影响较小.采用牛顿模型计算误差非常大,采用Evans-Johnson模型计算精度较高.滑滚比增加,油膜温升增加显著,压力变化不大,只是二次压力峰的峰值有所减小.      

CE/SE法模拟爆震波点火及传播过程

运用时空守恒元和解元(CE/SE)法模拟一维爆震波的形成及传播过程,分析产生爆震波的不同机理和DDT(爆燃-爆震转捩)过程的影响因素.采取激波点火和热点点火两种点火方式,分别对应SDT(激波-爆震转捩)和DDT过程,热点点火初始场采用线性温度分布和阶梯性温度分布,整个管道均为常压.用隐式梯形方法实现刚性源项积分.结果表明,SDT和DDT对应于不同的爆震波机理,并且DDT受点火区不同参数的影响,为研究爆震波点火和DDT过程提供了理论依据.     

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。     

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.     

一种孔径和频率二维稀疏的步进频SAR成像方法

 步进频率信号(SFWs)在不增加雷达系统瞬时带宽的情况下能够获得高的距离向分辨率的同时,也存在着抗干扰能力较差及其等效重复频率较低的问题,并且在方位向积累时间内由于雷达载机工作状态的变化,会导致方位向的数据录取不完整。针对上述问题,提出一种孔径和频率二维稀疏的步进频合成孔径雷达(SAR)成像方法。首先,分析了稀疏步进频率信号(SSFWs)的SAR成像模型,然后基于压缩感知理论完成距离向成像处理。其次,针对稀疏孔径的回波数据,通过构造成像算子和压缩感知重建模型的方法实现其距离徙动校正和方位压缩处理,进而获得二维成像结果。相比于传统的步进频率信号SAR成像,利用所提方法能够在少量的频率资源和雷达回波数据情况下实现准确的SAR成像。最后,通过对仿真和实测的步进频率雷达数据进行成像处理,验证了所提方法的有效性和可行性。     

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.