制造执行系统及其在Cessna生产中的应用

由于制造执行系统(MES)能够有效地管理生产运作过程、提高及时交货能力、改善物料的流通性能和提高生产回报率,近年来引起了国内一些大中型企业特别是航空航天企业的重视,并积极开展MES系统的推广应用.针对某航空企业轻型飞机Cessna L 162生产线MES系统的实施,将介绍其装配流水线选型、装配线工位划分与工艺流程分析、MES系统架构规划与功能实现、MES系统在生产线上的应用等.该MES系统的应用解决了传统飞机生产管理方法无法适应高产能流水线的问题,大大提高了生产效率,创造了很大的技术经济效益.     

深空探测航天器巡航段自主导航方法研究

对深空探测航天器自主导航方法进行了研究。为了应对深空探测中航天器轨道动力学模型的误差，在分光计测量航天器相对于太阳径向速度基础上，引入了小行星的视线矢量测量。通过最小二乘法计算出由小行星视线矢量所得到的位置信息，采用改进的信息融合方法修正扩展卡尔曼滤波中不精确的动力学模型造成的状态估计误差。同时计算了模型的能观度，对模型的可观性进行了分析。最后对算法进行了仿真分析，仿真结果表明，该算法对动力学模型的依赖性明显低于其他算法，在相同模型精度下，可获得更好的滤波精度。     

航空发动机脉动式装配生产线工艺仿真关键技术研究

面向国内民用航空发动机总装批产能力建设的需求,对标国内外先进脉动式装配生产线的研发进度和实施状态,在建设规划阶段,提出了脉动式总装生产线的工艺仿真方案。阐述了脉动式总装生产线工艺仿真的主要技术内容和关键技术方向,重点对关键技术的解决方案和实施途径进行规划,包括装配网络图建模及优化、车间工艺布局及生产仿真、基于二三维关联集成仿真的虚拟产品制造,最后对脉动式生产线数字孪生体进行了展望。     

Assembly Line Balancing Based on Double Chromosome Genetic Algorithm

Aiming at assembly line balancing problem, a double chromosome genetic algorithm （DCGA） is proposed to avoid trapping in local optimum, which is a disadvantage of standard genetic algorithm （SGA）. In this algorithm, there are two chromosomes of each individual, and the better one, regarded as dominant chromosome, determines the fitness. Dominant chromosome keeps excellent gene segments to speed up the convergence, and re cessive chromosome maintains population diversity to get better global search ability to avoid local optimal solu- tion. When the amounts of chromosomes are equal, the population size of DCGA is half that of SGA, which significantly reduces evolutionary time. Finally, the effectiveness is verified by experiments.     

航线条件下波音737NG发动机引气恒温器测试方法初探

针对发动机引气恒温器无法在航线维修中进行功能验证测试，难以判断其故障的情况，设计了一种可在航线条件下验证恒温器功能的设备。经过实际使用，证明此测试装置可以达到引气恒温器的测试要求，且成本低，操作简单。     

浅淡助力车生产线的设计

利用履带式链板传送原理，结合HD48助力车生产线设计中的具体情况，着重对助力车的总体设计、动力计算等情况进行了分析与总结。     

军品软件定价方法研究

现代作战飞机技术战术指标与作战效能的提高使得军品软件的代码行与功能点越来越多,软件系统的规模越来越大,软件研制的复杂性也越来越高,造成软件在飞机成本中的比例逐渐升高。阐述了开展软件定价方法研究的必要性,分析了国外开展软件定价方法研究的进展,研究了美军采用参数模型法进行软件定价的主要方法,介绍了美军进行软件价格管理的有益经验,提出了我国开展相关工作的建议,为加强军品软件价格管理工作,提高军费使用效益提供有益的借鉴和参考。     

Ideal proportional navigation for exoatmospheric interception

Ideal proportional navigation (IPN) is a natural choice for exoatmospheric interception for its mighty capture capability and ease of implementation. The closed-form solution of two- dimensional ideal proportional navigation was conducted in previous public literature, whereas the practical interception happens in the three-dimensional space. A novel set of relative dynamic equations is adopted in this paper, which is with the advantage of decoupling relative motion in the instantaneous rotation plane of the line of sight from the rotation of this plane. The dimension-reduced IPN is constructed in this instantaneous plane, which functions as a three-dimensional guidance law. The trajectory features of dimension-reduced IPN are explored, and the capture regions of dimension-reduced IPN with limited acceleration against nonmaneuvering and maneuvering targets are analyzed by using phase plane method. It is proved that the capture capability of IPN is much stronger than true proportional navigation (TPN), no matter the target maneuvers or not. Finally, simulation results indicate that IPN is more effective than TPN in exoatmospheric interception scenarios.     

光——一种特殊的建筑材料

本文主要根据光在当代建筑艺术的应用,探讨光这种特殊的材料的特点及其作用,以期唤起人们对光材料的重新认识和重视,并主动合理地把它运用到建筑设计中去。     

Use of land＇s cooperative object to estimate UAV＇s pose for autonomous landing

The research of unmanned aerial vehicles＇（UAVs＇）autonomy navigation and landing guidance with computer vision has important signifcance.However,because of the image blurring,the position of the cooperative points cannot be obtained accurately,and the pose estimation algorithms based on the feature points have low precision.In this research,the pose estimation algorithm of UAV is proposed based on feature lines of the cooperative object for autonomous landing.This method uses the actual shape of the cooperative-target on ground and the principle of vanishing line.Roll angle is calculated from the vanishing line.Yaw angle is calculated from the location of the target in the image.Finally,the remaining extrinsic parameters are calculated by the coordinates transformation.Experimental results show that the pose estimation algorithm based on line feature has a higher precision and is more reliable than the pose estimation algorithm based on points feature.Moreover,the error of the algorithm we proposed is small enough when the UAV is near to the landing strip,and it can meet the basic requirements of UAV＇s autonomous landing.