用于多目标跟踪的交互多模式概率数据关联算法

本文提出了一种新近开发的采用多模式数据关联的多目标跟踪算法。多模式数据关联是建立在利用从测量序列中提取多模式多目标跟踪这一新方法上的。Markov接控制多模式间的转换，这就能对多个模式进行交互作用。模式的引进开发了高性能算法的新范式，从而提出了一种高效的跟踪算法－交互多模式概率数据关联（IMP－JPDA）算法。IMP－JPDA算法可以看作一种广义的联合概率数据关联（JPDA）算法；当仅采用一次扫描的测量时，IMP－JPDA将简化为JPDA。     

Space Life Science of China in 2013

In the past two years, space life science research in China is characterized by a wide area of basic researches for providing foundation for the future China Space Station. The effect of microgravity and radiation was further studied from physiology phenomena to the level of bio-molecule mechanisms. Chinese space life science is maturing in a new era of comprehensive development. Here, we review and summarize researches on space life sciences which were contributed by Chinese scientists.     

舰载机弹射起飞前起落架牵制载荷突卸动力学分析

舰载机弹射起飞过程中,由于牵制载荷突卸而产生的前起落架沿航向的快速振动会给机体结构和设备都带来严重的疲劳问题,为研究该振动现象并提出解决方案,建立了舰载机弹射起飞动力学模型,分析计算了前起落架的受载情况,并详细论述其动力学成因,推导了消除前起落架振动现象的充分必要条件.研究结果表明:牵制载荷沿下扭力臂轴向的载荷分量所造...     

关于雨流计数法的讨论及修正

在疲劳载荷的统计处理中,雨流计数法一直被认为是比较合理的循环计数方法,在国内外得到了广泛应用。本文结合对应力-应变响应的研究指出了它的不足,提出了修正雨流计数法。此外,对于现有的两种利用有效系数模拟应力-应变响应的方法也进行了讨论,并提出了修正有效系数法。     

军用装备大规模可编程逻辑器件设计计价方法

大规模逻辑编程器件已在军用装备中得到了广泛应用,但目前为止国家还没有相关文件和标准明确其价格评估.长此以往对军用装备的质量必将产生一些不利影响.同时,缺乏科学成本预测工具和价格审核手段的现状,对装备经费资源也会造成很大浪费.根据实际工作经验,分析了影响大规模逻辑编程器件设计价格的主要因素和注意事项,提出了一套大规模逻辑编程的新评估计价方法.     

舰载飞机着舰拦阻动力学研究综述简

 拦阻着舰过程通常被认为是舰载飞机事故率最高的阶段,因此,自从有了航空母舰和舰载飞机,拦阻着舰动力学就一直是国内外相关研究人员的研究热点。本文从拦阻钩、拦阻装置和起落架3个关键部件着手,比较详细地论述了舰载飞机着舰拦阻涉及到的关键动力学问题及其研究现状,重点对拦阻钩弹跳动力学及其载荷分析、拦阻索动力学及其载荷分析、下沉速度、非对称拦阻对起落架载荷的影响、拦阻系统动力学等方面进行了综述。最后,对着舰拦阻动力学研究的发展趋势进行了展望。     

舰载机偏中心定位弹射起飞弹射杆载荷分析

 考虑舰载机偏中心定位,建立了六自由度弹射起飞动力学模型,对偏中心弹射过程中弹射杆受载情况进行了分析计算,讨论了初始偏心距离和起飞重量对弹射杆载荷的影响,并详细论述了其动力学成因。研究结果表明：飞机的滚转运动是导致弹射杆承受较大弯矩和扭矩的主要原因;弹射杆弯矩和扭矩随初始偏心距离的增大而迅速增大,但其轴向拉力受初始偏心距离影响较小;在弹射滑跑初始阶段,弹射杆的轴向拉力、弯矩以及扭矩随起飞重量的减小而增大,而在弹射滑跑后期,弹射杆所受载荷则随起飞重量的减小而减小。     

旋翼着陆器在火星探测中的研究进展

旋翼着陆器是下一轮国际火星探测的重要发展方向.论文首先回顾了火星探测软着陆的发展概况,分析了旋翼着陆器的结构组成、火星探测工作原理及特点.其次,阐述了开展旋翼着陆器设计过程中所需的关键技术.     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.     

Overloading of Landing Based on the Deformation of the Lunar Lander

Along with the progress of sciences and technologies, a lot of explorations are taken in many countries or organizations in succession. Lunar, the natural satellite of the earth, become a focus of the space discovery again recently because of its abundant resource and high value in use. Lunar exploration is also one of the most important projects in China. A primary objective of the probe in lunar is to soft-land a manned spacecraft on the lunar surface. The soft-landing system is the key composition of the lunar lander. In the overall design of lunar lander, the analysis of touchdown dynamics during landing stage is an important work. The rigid-flexible coupling dynamics of a system with flexible cantilevers attached to the main lander is analyzed. The equations are derived from the subsystem method. Results show that the deformations of cantilevers have considerable effect on the overloading of the lunar lander system.