汽车弹性衬套的疲劳试验及分析

对汽车钢板弹簧弹性衬套做疲劳试验，在国内资料中尚没有介绍过。本文介绍了我们对南京、江铃汽车制造厂弹性衬套的疲劳试验方案设计，采用了简单准确安全可靠的措施，更加完善了弹性衬套规范技术要求，通过试验，证明了弹性衬套疲劳试验的可行性。     

无人机4D制导系统研究

基于逆运动学方法设计了无人机四维制导系统。基本姿态控制器采用基于在线神经网络的非线性动态逆控制器。动态逆控制器用来对消无人机的非线性，在线神经网络补偿对消不精确引起的状态误差。制导系统的任务就是由给定的三维航迹，解算出航迹角，并生成三个姿态角指令，同时设计发动机控制回路以控制航迹速度，最终实现精确的四维航迹跟随。     

一种测量航空发动机T*4温度的新方法

采用热电偶信号放大集成电路AD595结合镍铬-镍铝热电偶温度传感器,设计了航空发动机T*4温度热电偶测温电路,实现了冷端自动补偿、热电偶断线报警信号输出功能.实测数据分析表明输出幅值大,误差小,重复性好.测量电路简单,具有较强的实用性.     

Image restoration of the asymmetric point spread function of a high-resolution remote sensing satellite with time-delayed integration

The calibration and validation team of the Korea Aerospace Research Institute has calibrated and validated the image data of the KOMPSAT-2 since the launch of KOMPSAT-2 on July 28, 2006. The asymmetric phenomenon of the point spread function of the KOMPSAT-2 image data is evident in both the along and the across direction, most likely because KOMPSAT-2 has a 1 m ground sample distance high-resolution camera with time-delayed integration. Furthermore, because KOMPSAT-2 is in space, the KOMPSAT-2 image data has been corrected with good results by means of modulation transfer function compensation.     

基于层次分析法的飞行模拟训练评价体系设计

为科学完善地描述飞行模拟训练中的应急处置程序,提升飞行员专业驾驶技术水平,本文提出飞行模拟训练评价体系,并通过层次分析法构造3阶判断矩阵,检测矩阵一致性指标为0.037,具有可接受性;并采用关联度进行数据分析量化计算,为飞行训练考核标准奠定理论基础。     

Low-latitude storm time ionospheric predictions using support vector machines

The electromagnetic drift plays an important role in low-latitude storm time ionospheric dynamics. In this study we attempt to utilize the electric field data into ionospheric predictions by using support vector machine (SVM), a promising algorithm for small-sample nonlinear regressions. Taking the disturbance electric field data as input, different SVMs have been trained for three seasonal bins at two stations near the north crest of the Equatorial Ionization Anomaly (EIA). Eighteen storm events are used to check out their predicting abilities. The results show fairly good agreement between the predictions and observations. Compared with STORM, a widely used empirical correlation model, the SVM method brings a relative improvement of 23% for these testing events. Based on this study we argue that the SVM method can improve the storm time ionospheric predictions.     

微流量测量方法及其技术的发展

归纳了近五年来基于MEMS技术的微流量传感器结构及性能参数。根据国际上热门的研究方法推断微流量测量技术可能的发展方向与研究趋势,即集成两种或两种以上的测量方法,实现优势互补,提高测量精度或扩大量程比。最后基于现有的技术基础,提出了融合科氏效应与差压效应的微流量测量方法,阐述了传感器的工作原理与理论基础,并对其可行性进行了分析与论证。     

基于改进WKNN的位置指纹室内定位算法

位置指纹算法是目前解决室内定位问题的主要方法,指纹特征和匹配算法为影响算法精度的两大因素.针对室内复杂环境下Wi-Fi信号强度波动较大的现象,提出了基于方差的加权距离以改进WKNN算法.在离线特征提取阶段,选择了均值和方差两个特征值,既反映该采样点的RSS幅值,也反映该点RSS的波动情况;在线阶段,根据方差提出了加权距离进行相似度的计算,查找距离最近的K近邻点,并以实际环境下采集的数据验证了改进WKNN算法在RSS波动大的情况下对定位效果的改善,在综合考虑了AP组合的影响后,实现了误差均值为1.456m的定位效果.     

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.