用遗传算法优化Turbo码交织器

具有短帧的Turbo码的性能取决于交织器的设计．设计的主要目标是距离谱的优化。本文提出在S随机交织器的基础上，用遗传算法(GA)优化交织器．提高Turbo码的自由距离并减少具有自由距离码字的出现频率。它利用了遗传算法的群体多样性，具有全局优化能力的特点，优化了Turbo码的距离谱，提高了系统性能。仿真结果表明，遗传交织器的性能优于块交织器、螺旋交织器等传统交织器。     

某型飞机空中飘摆故障分析及防护措施

分析某型飞机平尾助力器故障导致飞机在空中飞行时产生飘摆现象的原因,提出修理改进措施及维护对策。     

免维修使用期分析

基于传统的指数分布的平均故障间隔时间（MTBF）方法已经不能适应现代战争对装备效能和费用的双重要求，提出了免维修使用期（MFOP）的概念，并通过与MTBF对比分析了其含义，意义及与之相关的度量，费用，适用范围，预计模型和实现等问题，指出了MFOP不仅可应用于飞机，还可以应用于其他装备，并以导弹为例进行了分析。     

多体全自由飞过程的数值模拟

以三维非结构粘性直角网格重构为构架,数值求解了固定空间网格瞬间运动边界的N-S方程,逼近了流场的非定常过程,结合六自由度的弹道方程,对单体或多体运动过程进行了全自由飞数值模拟,数值模拟结果和级间分离的风洞自由飞试验进行了对比,初步的计算结果说明,全自由飞数值模拟在一定程度上可以描述风洞试验的飞行轨迹,并且适应能力更强,整个全自由飞数值模拟系统可以为更复杂的单体机动飞行或多体运动过程提供快速实用的数值模拟方法.     

Prediction of nonlinear pilot-induced oscillation using an intelligent human pilot model

This paper proposes a method to predict nonlinear Pilot-Induced Oscillation (PIO) using an intelligent human pilot model. This method is based on a scalogram-based PIO metric, which uses wavelet transforms to analyze the nonlinear characteristics of a time-varying system. The intelligent human pilot model includes three modules: perception module, decision and adaptive module, and execution module. Intelligent and adaptive features, including a neural network receptor, fuzzy decision and adaptation, are also introduced into the human pilot model to describe the behavior of the human pilot accommodating the nonlinear events. Furthermore, an algorithm is proposed to describe the procedure of the PIO prediction method with nonlinear evaluation cases. The prediction results obtained by numerical simulation are compared with the assessments of flight test data to validate the utility of the method. The flight test data were generated in the evaluation of the Smart-Cue/Smart-Gain, which is capable of reducing the PIO tendencies considerably. The results show that the method can be applied to predict the nonlinear PIO events by human pilot model simulation.     

基于ADS-B的飞机冲突探测

面对飞行流量持续快速增长、民航空域资源日益短缺的状况,对飞机间的潜在冲突进行有效探测,是避免飞机间危险接近或碰撞发生的关键.对飞机周围区域进行合理建模,给出了一种基于广播式自动相关监视(ADS-B)技术的确定型冲突探测算法,充分利用ADS-B报文提供的经度、纬度、速度和航向等信息及其报文高更新率等特点,预先排除无威胁飞机,然后分别从水平和垂直两个方向对飞机之间的冲突进行探测.运用Matlab进行功能仿真,结果表明该算法能有效排除无威胁的飞机,并且能够对有威胁的飞机及时给出告警.该算法对保证自由飞行条件下的飞行安全具有积极意义.     

三角形截面高柔结构横风向振动的风洞试验研究

本文介绍了正三角形截面高柔结构模型在均匀流场和湍流场中三种迎角下的横风向风振响应风洞试验结果，分析了三角形截面高柔结构的横风向涡激振动现象与驰振危险性，获得了一些数据和结论。     

自由飞行下基于IPS算法的碰撞风险研究

自由飞行是解决空域拥挤问题的一种有效飞行模式。随着通信、导航、监视（ CNS ）技术的不断进步和自由飞行理论的不断完善,自由飞行将会使飞机由被动指挥向自选最优路径转变,能够明显提高空域的容量和飞行的效率。在评估自由飞行环境下飞机运行的安全性时,需要行之有效的碰撞风险评估方法。首先考虑通信、导航、监视（CNS）性能对飞机定位误差的影响,在执行飞行冲突解脱命令过程中引入相互作用粒子系统（IPS）,提出一种自由飞行下飞机碰撞风险评估算法,最后结合目标安全水平寻找最优最小安全间距。算例表明,算法能够快速有效计算自由飞行下飞机间碰撞风险,具有可行性。     

Nonlinear Aeroelastic Response of High-aspect-ratio Flexible Wings

The aeroelastic analysis of high-altitude, long-endurance (HALE) aircraft that features high-aspect-ratio flexible wings needs take into account structural geometrical nonlinearities and dynamic stall. For a generic nonlinear aeroelastic system, besides the stability boundary, the characteristics of the limit-cycle oscillation (LCO) should also be accurately predicted. In order to conduct nonlinear aeroelastic analysis of high-aspect-ratio flexible wings, a first-order, state-space model is developed by combining a geometrically exact, nonlinear anisotropic beam model with nonlinear ONERA (Edlin) dynamic stall model. The present investigations focus on the initiation and sustaining mechanism of the LCO and the effects of flight speed and drag on aeroelastic behaviors. Numerical results indicate that structural geometrical nonlinearities could lead to the LCO without stall occurring. As flight speed increases, dynamic stall becomes dominant and the LCO increasingly complicated. Drag could be negligible for LCO type, but should be considered to exactly predict the onset speed of flutter or LCO of high-aspect-ratio flexible wings.     

集中式平台自由销售代码共享研究与应用

在对目前世界范围内,航空公司之间普遍采用的代码共享合作方式进行分析的基础上,结合中国民航的实际情况,提出了同时使用中国民航传统集中式订座系统平台,系统内两家航空公司之间自由销售模式的代码共享系统解决方案,并对该设计方案的高灵活性、低成本消耗等特点进行了具体的分析。