复杂曲面零件散乱点云特征点提取

复杂曲面零件的几何特征提取对加工质量的检测及逆向重构具有重要意义。提出了一种复杂曲面零件散乱点云特征点提取方法。首先,提出了基于高斯权重的邻域主成分分析的方法,通过估计每一点邻域的局部变化程度对点云模型进行初始标记;然后,采用基于标记的自动识别法实现特征点的提取;最后,通过特征点聚类的方式去除了特征点集中的异常点,完善了提取的点云特征。该方法直接操作于散乱点云,无需任何的拓扑连接信息。试验结果表明:该方法简单、有效,不需要过多地人为调节参数,特征点提取完整。     

虹桥机场障碍物碰撞风险分析

研究了最后进近及复飞阶段航空器与地面障碍物之间的碰撞风险的计算方法，结合航空资料汇编中上海虹桥机场的相关信息，利用碰撞风险模型对机场的主要障碍物进行了碰撞风险计算，并分析了障碍物宽度、障碍物高度、障碍物X位移和Y位移等四个参数的变化对碰撞风险的影响。结果表明虹桥机场的障碍物碰撞风险小于安全目标水平，超障高满足要求；在一定范围内，碰撞风险随障碍物高度增大而增加，但当宽度到一个临界值后不再增加；随障碍物宽度增大而增加；随X位移增大而减小；当Y位移为0时，碰撞风险值最大。     

形状记忆合金混杂复合材料的设计与制备

形状记忆合金偏心埋入到复合材料层板中可以构成可变形复合材料,并且其在航空航天、工业生产中具有广泛的应用前景.可变形复合材料的主要性能受到形状记忆合金的特性以及制备工艺的制约,可采用单向弯曲、推挽结构和扭曲结构等方法进行设计.通过对形状记忆合金的记忆处理及表面处理,根据形状记忆合金的铺入方式设计,可以制备可变形复合材料试件,这种方法可以为工业生产提供技术参考.     

微动工作台的研制及特性研究

介绍了一种根据仿生学原理设计而成的由电致伸缩微位移器为驱动元件的大范围高精度的微动工作台，该工作台采用电致伸缩微位移器直接驱动的柔性铰链机构，使其既可以在小范围内实现高精度的微动，又可以实现大范围的宏动。同时还对工作台的特性进行了测试实验和分析。     

弹道跟踪数据野值剔除方法性能分析

弹道跟踪数据中的野值会影响导弹目标定位精度。对用于弹道跟踪数据的野值剔除方法进行了综述。结合事后和实时两大类处理模式,分析了各野值剔除方法在理论和工程应用上的优缺点,给出了实际应用时的限制因素,建立了野值判决准则和相应的野值剔除实现步骤。仿真结果表明:野值剔除方法可以有效提高弹道跟踪数据的精度。事后处理模式中,基于格拉布斯准则的野值剔除效果最佳;实时处理模式中,基于自适应门限的五点线性预报法野值剔除效果相对较好,且时间复杂度相对较低,适合实时处理。     

电火花加工计算机辅助工艺过程设计系统

介绍电火花计算机辅助工艺过程设计系统（ＣＡＰＰＳ），用于为一个给定目标选择最佳操作。同时，还考虑了其它的会影响ＥＤＭ加工过程的加工方法（如铣削等）。系统的输入信息是在已有的ＣＡＤ信息的基础上产生的基于ＣＡＰＰ特征的工件描述。每个特征类对应于一个特定的一般工艺规程，并由系统对其进行评价，然后基于最低成本的原则，计算出最优工艺规程。同时还介绍了一种计算工时的通用方法。     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cubature Kalman filter（AGSSCKF） with a split-merge scheme is proposed. It is developed based on the squared-root extension of newly introduced cubature Kalman filter（SCKF） and is built within a Gaussian-sum framework. Based on the condition that the probability density functions of process noises and initial state are denoted by a Gaussian sum using optimization method, a bank of SCKF are used as the sub-filters to estimate state of system with the corresponding weights respectively, which is adaptively updated. The new algorithm consists of an adaptive splitting and merging procedure according to a proposed split-decision model based on the nonlinearity degree of measurement. The results of two simulation scenarios（one-dimensional state estimation and bearings-only tracking） show that the proposed filter demonstrates comparable performance to the particle filter with significantly reduced computational cost.     

飞机下滑波束导引系统设计及仿真

下滑波束导引系统是飞机在自动着陆时所采用的一种重要无线电波束导引系统。首先,简要阐述了下滑波束导引系统的基本工作原理;然后,对导引系统的运动学环节及下滑耦合器进行分析,对飞机下滑波束导引系统结构进行设计;最后,在MATLAB平台下,对所设计的下滑波束导引系统进行大量仿真研究。仿真结果显示。所设计的下滑波束导引系统结构是合理的,其控制系统是稳定的,且其稳态性能也得到改善。     

热敏电阻自动测试与分选

提出了对热敏电阻测量值进行补偿校正的方法。叙述了PTC热敏电阻自动分选仪的组成结构和实现方法，可以对烧结成形的热敏电阻图片进行全自动测量分选。