放宽静稳定度飞机时间延迟稳定边界

针对飞机初步设计阶段其放宽静稳定度（RSS）与电传飞控系统时间延迟边界之间的定量关系求解问题，以战斗机纵向短周期方程为基础，分析了飞控系统中的时间延迟因素，描述了放宽静稳定度与方程参数间的关系。并以等效输入延迟的形式构建了含飞控系统时间延迟的闭环系统特征方程，通过根轨迹趋势理论和数值计算方法确定了放宽静稳定度与飞控系统时间延迟边界的定量数值关系，同时探讨了舵效与动导的参数不确定性对所求时间延迟边界的影响。本文方法对飞机初步设计阶段飞控系统时间延迟指标和可放宽静稳定度边界的确定具有一定的工程实践意义。     

Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory

Unmanned Aerial Vehicle (UAV) swarms have been foreseen to play an important role in military applications in the future, wherein they will be frequently subjected to different disturbances and destructions such as attacks and equipment faults. Therefore, a sophisticated robustness evaluation mechanism is of considerable importance for the reliable functioning of the UAV swarms. However, their complex characteristics and irregular dynamic evolution make them extremely challenging and uncertain to evaluate the robustness of such a system. In this paper, a complex network theory-based robustness evaluation method for a UAV swarming system is proposed. This method takes into account the dynamic evolution of UAV swarms, including dynamic reconfiguration and information correlation. The paper analyzes and models the aforementioned dynamic evolution and establishes a comprehensive robustness metric and two evaluation strategies. The robustness evaluation method and algorithms considering dynamic reconfiguration and information correlation are developed. Finally, the validity of the proposed method is verified by conducting a case study analysis. The results can further provide some guidance and reference for the robust design, mission planning and decision-making of UAV swarms.     

考虑太阳自转的天文多普勒差分导航方法

基于太阳震荡的时间延迟是一种新型天文导航量测量，可以提供探测器相对反射天体的距离信息，与星光角距量测量结合，可以提高导航性能。然而，星光角距量测模型与时间延迟量测模型均含有火卫一相对火星的位置矢量，火卫一的星历误差将影响导航精度。针对这一问题，提出了一种基于在线估计的天文测角/时间延迟量测组合导航方法，建立了包含火卫一位置及速度的状态模型，利用星光角距及时间延迟量测量同时对火卫一的位置和速度进行在线估计，仿真结果表明，提出的方法可以有效抑制火卫一星历误差对组合导航精度的影响，为探测器提供高精度的自主导航信息。     

A multi-criteria fusion feature selection algorithm for fault diagnosis of helicopter planetary gear train

Planetary gear train is a prominent component of helicopter transmission system and its health is of great significance for the flight safety of the helicopter. During health condition monitoring, the selection of a fault sensitive feature subset is meaningful for fault diagnosis of helicopter planetary gear train. According to actual situation, this paper proposed a multi-criteria fusion feature selection algorithm (MCFFSA) to identify an optimal feature subset from the high-dimensional original feature space. In MCFFSA, a fault feature set of multiple domains, including time domain, frequency domain and wavelet domain, is first extracted from the raw vibration dataset. Four targeted criteria are then fused by multi-objective evolutionary algorithm based on decomposition (MOEA/D) to find Proto-efficient subsets, wherein two criteria for measuring diagnostic performance are assessed by sparse Bayesian extreme learning machine (SBELM). Further, F-measure is adopted to identify the optimal feature subset, which was employed for subsequent fault diagnosis. The effectiveness of MCFFSA is validated through six fault recognition datasets from a real helicopter transmission platform. The experimental results illustrate the superiority of combination of MOEA/D and SBELM in MCFFSA, and comparative analysis demonstrates that the optimal feature subset provided by MCFFSA can achieve a better diagnosis performance than other algorithms.     

基于模糊综合评价的关联性能分析

针对单一指标无法较完整的对数据融合中的数据关联效果进行评估的问题,本文提出应用模糊综合评价法,综合多个指标、多个场景对数据关联的性能进行综合评估.实验表明,该模型可以对数据关联的性能进行定量评价,并且能够对不同关联算法的性能进行比较.     

基于三维有限元的火箭模态振型斜率预示方法研究

振型斜率火箭是姿控系统设计的重要参数,对飞行任务的可靠性与安全性有着至关重要的作用。依据全箭动特性的测量原理及参数定义,结合三维有限元建模方法和模型修正技术,全面考虑了速率陀螺、惯组安装位置处的局部刚度对振型和振型斜率的影响,建立了基于局部细节精细化建模的全箭模态振型斜率预示方法,并总结了3种不同的振型斜率提取方法,提高了振型斜率的预示精度。同时提供了三维模型振型一维化的方法,解决了使用三维有限元模型计算弹性运动方程式系数的难题。     

基于视景仿真的引战配合效率评估方法

针对舰空导弹飞行试验中导弹引战配合性能难以直接观测,以及靶标与典型作战对象差异较大的问题,提出了一种基于视景仿真的引战配合效率评估方法,实现了导弹对典型目标的引战配合效率评估。基于某型舰空导弹引战系统的工作原理,建立了引信启动模型、战斗部毁伤模型和目标毁伤效果评估模型,实现了对典型目标引战配合及毁伤的定量分析。仿真模型经过靶试飞行试验数据检验,仿真结果与实际靶试结果基本吻合,仿真模型得到了有效验证。所提供的毁伤评估手段可为导弹性能鉴定及导弹对防空体系贡献度提供参考依据,对后续靶场开展相关舰空导弹试验鉴定具有借鉴意义。     

基于多步裁定法评估编队超视距空战效能

提出了评估编队歼击机超视距空战效能的多步裁定法。用损失交换比和剩余飞机数量作为效能指标,将最优火力分配与空空反导弹引入到多步裁定模型中。考虑了电子对抗与飞机生存力,计算了歼击机领先发射概率、空空导弹击毁概率和发射次数。算例表明,领先发射一方超视距空战效能通常较高,滞后发射一方若采用最优火力分配、空空反导弹、电子对抗及提高飞机生存力等措施也可提高超视距空战效能。此模型计算简便,合理有效。     

HCKF性能评估及其在传递对准中的应用

针对高阶容积卡尔曼滤波(HCKF)算法在传递对准中的应用问题，提出综合运用多变量函数泰勒级数展开和计算复杂度分析的性能评估方法。基于高阶球面-径向容积准则建立HCKF算法模型，并对其估计精度和计算量进行量化和对比分析：HCKF具有5阶泰勒级数展开精度且计算复杂度为O(n 4)，综合性能优于高斯厄米特积分滤波(GHQF)和无迹卡尔曼滤波(UKF)。将三种非线性滤波算法应用到舰机大失准角传递对准系统中，摇摆台试验结果表明：HCKF的估计精度比UKF高17%，计算量比GHQF小2个数量级，与HCKF性能评估结果一致。     

空间引力波探测微牛电推进寿命评估研究现状

阐述了空间引力波探测任务中无拖曳控制技术对推进系统的特殊要求，介绍了目前主要的备选推进类型：冷气推进、离子电推进、会切型霍尔电推进、胶体电推进。针对面向空间引力波探测任务的电推进系统的寿命评估工作进行了任务分析，报告了目前微牛级电推进系统寿命试验研究现状，举例说明了目前主要应用的电推进装置寿命预测方式，包括半经验模型预测、数值模拟预测、基于数据驱动的预测以及系统层面的可靠性评估方法。对目前微牛级电推进系统的寿命评估研究现状进行总结，给出了发展思路。