支持产品协同制造的质量管理信息系统

提出了一个基于Intranet/Extranet/Internet和ASP(Application Service Provider)方式的协同质量管理信息系统模型,为产品协同质量管理提供了一个完整的信息平台.介绍了系统体系结构,系统地论述了包含质量策划管理、产品质量管理、项目管理、支持性质量管理活动管理、质量改进管理、客户关系管理、供方关系管理等核心业务的功能模型,并针对开发实现的关键技术进行了讨论.      

倒锥面高层玻璃幕墙清洗机器人设计

为满足倒锥面高层玻璃幕墙清洗机器人对小质量、高可靠性、高安全性的要求,提出了运动驱动分散配置、主运动与辅助运动一体化、主运动柔性驱动的机器人结构设计原则;针对具体建筑结构设计了完备的清洗机器人系统,讨论了机器人对作业对象遍历运动和吸附、清洗功能的实现方法;分析了机器人系统对建筑结构误差的适应能力,证明了柔性驱动结构的可行性.在上述基础上开发了倒锥面高层玻璃幕墙清洗机器人系统,并进行了现场试验,证明了系统的实用性和可靠性.该系统已成功应用于机场指挥塔幕墙的清洗作业.      

基于Web的飞机维修管理信息系统

结合某部附件维修厂的飞机维修过程,采用B/S模式,以Bea公司的Weblogic作为Web服务器,Oracle8作为后台数据库管理信息系统,架构了基于Web的飞机维修管理信息系统,同时叙述了系统实施的硬件和软件方案。     

机载武器发射技术及其研究

机载武器发射系统是飞机武器系统的重要子系统之一,对完成作战任务起着不可或缺的作用。本文定义了机载武器发射技术的概念和内涵,梳理了机载武器发射技术的研究内容,提出了机载武器发射系统构建方法,对机载武器发射过程中主要功能的实现途径给出了详细论述。     

Identification of reduced-order model for an aeroelastic system from flutter test data

Recently, flutter active control using linear parameter varying (LPV) framework has attracted a lot of attention. LPV control synthesis usually generates controllers that are at least of the same order as the aeroelastic models. Therefore, the reduced-order model is required by syn-thesis for avoidance of large computation cost and high-order controller. This paper proposes a new procedure for generation of accurate reduced-order linear time-invariant (LTI) models by using sys-tem identification from flutter testing data. The proposed approach is in two steps. The well-known poly-reference least squares complex frequency (p-LSCF) algorithm is firstly employed for modal parameter identification from frequency response measurement. After parameter identification, the dominant physical modes are determined by clear stabilization diagrams and clustering tech-nique. In the second step, with prior knowledge of physical poles, the improved frequency-domain maximum likelihood (ML) estimator is presented for building accurate reduced-order model. Before ML estimation, an improved subspace identification considering the poles constraint is also proposed for initializing the iterative procedure. Finally, the performance of the proposed procedure is validated by real flight flutter test data.     

An integrated graphic–taxonomic–associative approach to analyze human factors in aviation accidents

Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The existing graphic approaches are effective for describing accident mechanisms within various categories of human factors, but cannot simultaneously describe inadequate human–aircraft–environment interactions and organizational deficiencies effectively, and highly depend on analysts' skills and experiences. Moreover, the existing methods do not emphasize latent unsafe factors outside accidents. This paper focuses on the above three limitations and proposes an integrated graphic–taxonomic–associative approach. A new graphic model named accident tree(AcciTree), with a two-mode structure and a reaction-based concept, is developed for accident modeling and safety defense identification. The AcciTree model is then integrated with the well-established human factors analysis and classification system(HFACS) to enhance both reliability of the graphic part and logicality of the taxonomic part for improving completeness of analysis. An associative hazard analysis technique is further put forward to extend analysis to factors outside accidents, to form extended safety requirements for proactive accident prevention. Two crash examples, a research flight demonstrator by our team and an industrial unmanned aircraft, illustrate that the integrated approach is effective for identifying more unsafe factors and safety requirements.     

Survey of orbital dynamics and control of space rendezvous

Rendezvous orbital dynamics and control （RODC） is a key technology for operating space rendezvous and docking missions. This paper surveys the studies on RODC. Firstly, the basic relative dynamics equation set is introduced and its improved versions are evaluated. Secondly, studies on rendezvous trajectory optimization are commented from three aspects： the linear rendez- vous, the nonlinear two-body rendezvous, and the perturbed and constrained rendezvous. Thirdly, studies on relative navigation are briefly reviewed, and then close-range control methods including automated control, manual control, and telecontrol are analyzed. Fourthly, advances in rendezvous trajectory safety and robust analysis are surveyed, and their applications in trajectory optimization are discussed. Finally, conclusions are drawn and prospects of studies on RODC are presented.     

飞机垂尾抖振响应的飞行试验研究

介绍了国内外垂尾抖振试飞的最新进展情况,并就抖振试飞中可以采用的试飞方法,从理论上进行了分析。飞行试验采用收敛转弯的试飞方法,通过在左、右垂尾上加装的振动加速度传感器,得到了不同马赫数下垂尾的抖振响应情况。在对数据进行均方根分析、时频分析和自功率谱密度分析等方法的基础上建立起抖振响应和迎角、频率的关系后发现：垂尾抖振响应主要集中在垂尾低阶模态频率上;垂尾的抖振响应随迎角、马赫数的增加而增加,其中受迎角的影响大于受马赫数的影响;且飞机在超过初始抖振迎角以后,随迎角的继续增加,垂尾翼尖后缘处的抖振响应显著大于垂尾翼尖前缘位置。     

航空型号项目风险预测的BP神经网络模型及应用

本研究克服了单纯采用专家风险因子测度方法主观性较强的缺点,以及单纯采用人工神经网络评估模型模糊性的缺点,结合两种方法的优点,利用基于BP神经网络算法的Microsoft Visual C++程序,在专家风险因子测度基础上,通过大量风险评估成功案例数据的训练,成功建立了航空型号项目风险预测模型.该模型可以较为精确、客观地...     

基于最大信噪比的带噪测控信号分离算法

在实际卫星测控信号侦察中,混合副载波信号分离比较困难,且耗时较长.为此,提出一种基于小波变换和最大信噪比的副载波盲分离算法.先利用小波阈值算法对混合带噪信号进行消噪处理,然后采用基于最大信噪比的盲分离算法对消噪后的信号实施分离,最后得到测控副载波信号的估计.MATALAB仿真结果表明,该算法计算复杂度低,耗时短,能够较...