飞行器集群协同制导控制方法及应用研究

分析了目前多飞行器协同作战的发展现状与趋势，指出了多飞行器以编队形式进行协调与配合，可以有效提高突防概率与作战效能。针对飞行器集群协同制导控制技术，分析梳理了相关的技术难点。然后，分别对协同任务规划与动态目标分配方法和多飞行器编队协同控制方法、多约束条件下的分布式协同制导方法的国内外研究现状进行了介绍。最后对飞行器集群协同制导控制技术进行了总结，并对未来的发展方向进行了展望。     

铝合金CO2激光-TIG电弧复合焊接试验研究

以LF6铝合金为材料,开展了CO2激光-TIG电弧复合焊接工艺试验研究。试验结果表明,与单激光或TIG电弧比较,激光-TIG复合焊接可以提高焊缝熔深,改善焊缝成形,降低气孔和下塌等焊接缺陷。在此基础上,进一步研究了不同工艺参数对焊缝成形的影响,探索了铝合金激光-TIG电弧复合焊接的可行性。     

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。     

某高压压气机第4级转子叶片断裂分析

针对某燃气轮机在试车过程中高压压气机第4级转子叶片的断裂失效故障,通过外观检查、断口分析、表面检查、成分分析、组织检查、硬度测试和模拟试验等手段,对断裂性质和产生原因进行分析。结果表明:故障叶片为疲劳断裂。在试车过程中叶尖与机匣涂层严重碰摩,使叶片承受非正常冲击载荷是促使故障叶片产生疲劳裂纹的主要原因,叶片原始加工刀痕和喷丸质量差起促进作用。提出提高叶片加工质量,控制合理的叶片与机匣涂层之间的间隙的改进建议,以避免类似故障的发生。     

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。     

低碳硅锰系结构钢中相变诱发塑性的研究

在低碳硅锰系结构钢中，也可获得ＴＲＩＰ效应，使其力学性能尤其是延伸率大幅度提高。本研究硅含量较高的Ｂ钢残余奥氏体稳定性增强，ＴＲＩＰ效应显著。