基于特征空间变换的运载火箭Pogo模型降阶方法

针对运载火箭Pogo状态空间模型存在维数高和奇异性的问题,开展了 Pogo模型的降阶方法研究.基于特征空间变换理论,导出了一般形式的Pogo状态空间模型的解耦形式.该形式与推进系统和结构系统的模态频率相对应,从而通过模态截断或保留感兴趣的模态实现有效的模型降阶.同时,还给出了降阶方法的实数运算公式.在两种不同型号推进系...     

基于疲劳-蠕变载荷等效转换的涡轮盘载荷谱编制及寿命预测

针对雨流计数法在峰谷值提取时进行等值压缩,忽略保载时间的问题进行了改进,提出了一种基于损伤曲线的疲劳-蠕变载荷等效转换方法。利用非线性疲劳损伤累积函数和损伤等效原则,建立了不同应力水平、不同保载时间下疲劳-蠕变载荷与疲劳载荷之间的等效换算模型。利用涡轮盘材料试验数据,计算了不同循环加载条件下的等效换算比,得到了其随保载时间的变化规律。利用改进的雨流计数法,编制了航空发动机高压涡轮盘载荷谱,并将其与寿命-时间分数预测法相结合,得到了涡轮盘剩余寿命。结果表明,改进的雨流计数法综合考虑了疲劳-蠕变耦合损伤对涡轮盘寿命造成的影响,相比于传统雨流计数法,寿命预测误差降低了15.02%,验证了该方法的有效性。     

超高温度梯度定向凝固NiMnFeGa磁致形状记忆合金

利用超高温度梯度定向凝固装置制备出定向Ni51.2Mn20.0Fe13.0Ga15.8磁致形状记忆合金.沿晶体生长方向凝固组织由等轴晶逐渐过渡为柱状晶,马氏体变体取向性明显,γ相愈加细小,分布愈加均匀.Ni51.2Mn20.0-Fe13.0Ga15.8合金在加热和冷却过程中发生热致马氏体相变及逆相变,马氏体相变温度Ms＝121.3℃,Mf＝99.3℃,As＝118℃,Af＝147℃.     

Phase Transformation and Microstructure of Ti50Ni48-xFe2Ndx Shape Memory Alloys

The influences of rare earth element Nd on the phase transformation and the microstructure of Ti₅₀Ni_48−xFe₂Nd_x shape memory alloys are investigated by means of electrical resistivity, optical microscopy, electron probe microanalyzer, and X-ray diffraction. The results show that TiNiFe alloys with different Nd contents exhibit two-step martensitic transformation. The start temperature of martensitic transformation increases sharply from 212 K to 267 K when 0.1 at.% Nd is added in, and then decreases gradually if Nd content further increases. The microstructure of TiNiFeNd quaternary alloys consists of TiNi matrix, Ti₂Ni second phase, and Nd₃Ni intermetallic compound. The spherical Nd₃Ni precipitate-particles evenly disperse in the matrix.     

基于Kalman滤波的GPS/INS接收机自适应干扰抑制方法

 考虑到惯导信息辅助GPS(GPS/INS)接收机对干扰抑制实时性的要求,提出一种基于Kalman滤波的GPS/INS接收机自适应干扰抑制方法。自适应广义旁瓣相消(GSC)多采用低复杂度最小均方(LMS)算法更新权矢量,收敛速率较低,严重时会导致接收机定位中断。首先利用Householder变换构建GSC下支路的阻塞矩阵,用于阻塞任意二维阵型阵列接收的期望信号;再用Kalman滤波自适应更新下支路权矢量,从而有效提高阵列输出信干噪比(SINR)。理论分析和仿真结果说明本文方法可有效抑制干扰对接收机的影响,且具有实时性高的特点。     

Manifold structure preservative for hyperspectral target detection

A nonparametric method termed as manifold structure preservative (MSP) is proposed in this paper for hyperspectral target detection. MSP transforms the feature space of data to maximize the separation between target and background signals. Moreover, it minimizes the reconstruction error of targets and preserves the topological structure of data in the projected feature space. MSP does not need to consider any distribution for target and background data. So, it can achieve accurate results in real scenarios due to avoiding unreliable assumptions. The proposed MSP detector is compared to several popular detectors and the experiments on a synthetic data and two real hyperspectral images indicate the superior ability of it in target detection.     

AADL2ECPN模型转换方法及其在IMA上的应用

在综合模块化航空电子（IMA）系统应用集成的过程中,对IMA系统的资源配置建模和安全性分析至关重要。首先利用模型转换的方法,提出一套从架构分析和设计语言（AADL）模型到扩展着色Petri 网（ECPN）模型的转换规则,将AADL模型转换为ECPN模型,并且确保在模型转换过程中不丢失任何关键资源建模元素;然后基于目标模型进行后续的安全性分析研究;最后用一个简单例子演示如何应用提出的模型转换方法。结果表明,AADL2ECPN模型转换方法分析IMA系统安全性的可行性。      

Microstructure and Martensitic Transformation Behaviors of Explosively Welded NiTi/NiTi Laminates

The study is a first attempt to prepare bulk NiTi/NiTi shape memory alloy (SMA) laminates with a macroscopic heterogeneous composition by explosive welding and investigate their microstructures and martensitic transformation behaviors. After explosive weld- ing, a perfect interfacial bonding between the two components and a reversible martensitic transformation are realized in the tandem. Results show achievement of a fine granular structure and the maximum value of microhardness near the welding interface because of the excessive cold plastic deformation and the high impact velocity during the explosive welding. Meanwhile, the effects of aging on the transformation of the welded tandem are investigated by differential scanning calorimeter (DSC) and subject to discussion. The trans- formation temperatures of NiTi/NiTi SMAs increase with the rise of the aging temperature. The experimental results indicate the shape memory properties of NiTi/NiTi SMA fabricated by explosive welding can be improved by optimizing the aging technology.     

Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on Wavelet Transformation

针对基于大气紊流激励的飞机颤振试验数据具有信噪比低以及测量数据以加速度响应形式给出等特点,将小波变换与随机减量法相结合对飞机颤振模态参数进行识别,首先利用随机减量法获得结构在非零初始加速度条件下的自由衰减响应,然后对该自由衰减响应进行Morlet连续小波变换,为使变换简单,本文采用了Parseval定理和留数定理,利用Morlet的带通滤波特性,通过搜索小波变换系数在不同的尺度区域内的极大值,再根据小波变换系数的极大值、相角与固有振动频率及阻尼系数间的关系,即可识别出各模态参数。并对利用小波变换识别颤振模态参数时,实现模态解耦应满足的条件进行了分析研究。通过仿真和飞机颤振试验数据分析,验证了该识别方法不仅简单、有效和可行,而且具有较强的抗噪性。