基于Huffman最优二叉树支持向量机的舱音记录器背景信号识别

飞行器舱音记录器(CVR)记录的舱音信号,通常是语音声、警告声、开关按钮声和背景噪声等混合而成.目前国内对该类信号的分析和辨别主要是计算机译码后利用人耳进行辨听,存在不易准确分辨各种独立声音信号的缺点.针对舱音信号是一种非平稳性的时频信号,提出了基于多尺度最优小波包基的CVR背景信号特征提取算法,将10种典型信号进行小波包分解,以分解得到的子带能量作为信号初始特征,再根据类间最大距离准则选取最优小波包基,从而确定待识别信号最具有代表性的特征向量,最后基于Huffman最优二叉树支持向量机进行CVR背景信号分类.仿真实验结果表明,该方法的平均识别率为94.62%,可以应用于CVR背景声音信号的自动识别.     

多星发射上面级姿态变结构控制方法研究

根据上面级飞行器存在强控制耦合和惯量耦合特性,基于上面级刚体姿态动力学简化模型,由变结构控制理论设计了上面级姿态控制律。采用趋近律减轻变结构控制引起的系统抖振。仿真结果表明：设计的控制律可自动适应强耦合对象特性,具强鲁棒性,使系统在有限时间收敛、精确跟踪。     

基于Zernike矩的高精度太阳图像质心提取算法

在基于太阳观测的月球车天文导航系统中,针对太阳传感器中图像噪声以及典型图像退化的不良影响,提出了一种基于Zernike矩的高精度太阳质心提取算法。采用Sobel算子进行边缘检测,Zernike矩重定位亚像素边缘,用最小二乘法拟合圆心。而当图像存在退化时,进行有效圆边缘点检测后,再用该法提取质心。从理论上分析了Zernike矩亚像素边缘检测对圆拟合法的改进作用。利用仿真图像和地表实验图像,将本文方法与传统的重心法、带阈值的重心法和圆拟合法进行了比较。结果表明,本文方法精度更高,具有更好的稳定性,可以对月球车天文导航精度的提高起良好作用。     

一种基于主成分分析法的发动机性能评估方法

为了能对发动机机队的性能进行视情维修管理和实时排序,利用多属性风险决策方法对高位空间进行降维处理,并根据性能参数中蕴含的客观信息建立主成分分析方法的综合模型。由该方法得出的综合指数可判断发动机的相对性能,为发动机性能评估提供依据。     

Cf / E 预浸料先进拉挤固化工艺

为探索与预浸料先进拉挤成型技术相适应的工艺方案,采用DSC研究了碳纤维/环氧预浸料USN12500的固化放热过程,对USN 12500的典型固化工艺进行改进,以此为基础设计了不同压力和加压时机下的试验方案,采用实验室现有设备模拟先进拉挤过程制备了试样,以制品的孔隙率作为考察指标优选了的拉挤成型固化的工艺参数.结果表明:制品在110℃下处理20 min,热压阶段130℃下处理15 min同时保持0.4MPa的工艺压力,后固化150℃下处理1.5h为工艺试验的优化方案,并且能够制得孔隙率＜1.1％的制品.     

Mars entry trajectory optimization using DOC and DCNLP

This paper addresses the issue of Mars atmospheric entry trajectory optimization by use of the desensitized optimal control (DOC) and Direct Collocation and Nonlinear Programming (DCNLP). Firstly, desensitized optimal control methodology is adopted to reduce the sensitivity of terminal state variables with respect to uncertainties and perturbations along the trajectory, in addition to optimizing the original performance index. Then, Direct Collocation (DC) method is used to transform the optimal control problem into Nonlinear Programming (NLP) problem which can be easily solved using the SNOPT software package. Monte Carlo simulations of error analysis show that the sensitivity of terminal state variables with respect to uncertainties and perturbations is significantly reduced, leading to improved entry precision.     

舰载稳定跟踪平台艏摇框架结构设计与模态有限元分析

介绍了舰载稳定跟踪平台的结构形式,平台采用三框架结构,克服了舰船艏摇运动对跟踪准确度的影响,并提高了跟踪准确度。对艏摇框架进行结构设计,应用模态有限元分析理论,对其动态特性进行研究,并提出了改善该艏摇框架结构动态性能的措施。最后通过实验验证艏摇框架结构设计的合理性。     

Three-dimensional path planning for unmanned aerial vehicle based on interfered fluid dynamical system

This paper proposes a method for planning the three-dimensional path for low-flying unmanned aerial vehicle(UAV) in complex terrain based on interfered fluid dynamical system(IFDS) and the theory of obstacle avoidance by the flowing stream. With no requirement of solutions to fluid equations under complex boundary conditions, the proposed method is suitable for situations with complex terrain and different shapes of obstacles. Firstly, by transforming the mountains, radar and anti-aircraft fire in complex terrain into cylindrical, conical, spherical, parallelepiped obstacles and their combinations, the 3D low-flying path planning problem is turned into solving streamlines for obstacle avoidance by fluid flow. Secondly, on the basis of a unified mathematical expression of typical obstacle shapes including sphere, cylinder, cone and parallelepiped, the modulation matrix for interfered fluid dynamical system is constructed and 3D streamlines around a single obstacle are obtained. Solutions to streamlines with multiple obstacles are then derived using weighted average of the velocity field. Thirdly, extra control force method and virtual obstacle method are proposed to deal with the stagnation point and the case of obstacles’ overlapping respectively. Finally, taking path length and flight height as sub-goals, genetic algorithm(GA) is used to obtain optimal 3D path under the maneuverability constraints of the UAV. Simulation results show that the environmental modeling is simple and the path is smooth and suitable for UAV. Theoretical proof is also presented to show that the proposed method has no effect on the characteristics of fluid avoiding obstacles.     

基于LabVIEW的切削过程远程监测

提出和实现了切削过程远程监测的3种方法,并介绍了切削过程数据采集系统.现场监测参量为切削力和切削温度,软件平台为LabVIEW.利用其中的远程面板访问技术,基于互联网直接监测位于远端服务器上的切削数据采集VI面板.利用LabVNC实现远程面板控制的方法较为有效.     

一种新型的分布式数据采集器(一)

介绍了一种新型的分布式智能数据采集系统──ALPHA900系列数据采集器。该采集器由中国航空工业总公司第三0四研究所与英国ADAS公司联合设计研制。它集中了90年代采集器的优点，如可变字长、可编程智能前端、带温度补偿的连接器、可脱机工作等，并为突出各自功能形成系列。该采集器已成功地投入了工业生产，并且应用于工业过程监测、条件监测或加工监测。该系统使用价格低廉的RS485网络，各种型号模块提供了精确的温度、压力、应变及数字事件和频率等数据的测量及控制，并有相当突出的性能价格比。