基于数据挖掘技术的液体火箭发动机试验数据分析和处理

分析了数据挖掘技术的研究概况,研究了偏差检测、人工神经网络等数据挖掘方法,实现了挖掘方法在液体火箭发动机试验数据分析处理中的应用。最后,用某发动机试验数据进行了验证。     

基于Terminal滑模的小行星探测器着陆连续控制

针对弱引力场不规则小行星探测器安全下降与着陆,提出了一种基于比例微分(PD,Proportional plus Derivative)及非奇异Terminal滑模的连续控制方法.在着陆点坐标系下推导了探测器的动力学方程,设计了开环燃料次最优多项式标称轨迹制导方法.针对下降和着陆两个不同阶段提出了PD和非奇异Terminal滑模变结构连续控制方法.将PD控制的易操作性与非奇异Terminal滑模控制收敛速度快、调整时间短有效结合,保证了探测器安全着陆.仿真结果表明了提出方法的可行性和有效性.     

双体小行星系统平衡态与稳定性研究

由于双体小行星独特的运动形式可为行星的演化提供重要线索,因而成为小行星探测中的热点目标。基于双椭球体模型研究了双小行星系统的相对运动、平衡态及稳定性。首先基于双椭球的全二体模型建立了双星系统相对运动的动力学方程;其次利用拉格朗日方程,通过求解系统角动量和能量,建立了双星系统平衡态对应的状态约束;最后给出了通过零速度状态曲面判断双星系统平衡态稳定性的一般性方法,在此基础上分析了小行星物理参数变化对系统平衡态稳定性的影响。研究可为未来双体小行星系统探测任务中的轨道设计与控制提供重要的理论参考。     

深空撞击载荷总体技术分析与效能仿真

以近地小行星2016HO3为深空撞击目标开展科学探测,从爆炸成型弹丸技术、安全可靠爆炸技术、撞击载荷分离技术、撞击效能仿真技术等7个方面系统详细地进行了基于聚能爆炸成型弹丸的撞击载荷技术体系解析与技术内涵阐述,给出了深空撞击载荷初步总体设计方案;通过弹丸撞击靶板的数值模拟仿真,得到了撞击速度在0.2～0.4cm/μs变化范围下产生32～47cm大小的撞击坑坑径结果,得出了撞击坑直径随弹丸不同撞击速度、靶材不同密度、不同强度和不同厚度的变化规律,为撞击载荷总体优化设计提供了撞击效能仿真技术支撑。     

一种小行星探测陆标导航方法

针对小行星探测下降着陆段精确相对导航问题,提出了一种基于Stereophotoclinometry (SPC)陆标的相对导航方法.该方法先采用SPC光照模型渲染陆标的预测图像,再利用双线性插值从观测图像中生成陆标的提取图像.通过组合相关匹配实现预测图像与提取图像的高精度匹配,得到陆标中心点对应观测图像位置,即可利用N点透视(PNP)算法进行相机位姿估计.仿真结果表明,该方法在初始相机位姿偏差较大时也能达到亚像素的图像位置确定精度,并且具有较好的实时性.     

Landing of the asteroid probe with three-legged cushioning: Planar asymmetric dynamics and safety margin

The probes landing on the surfaces of the asteroids can increase the scientific return of the exploration missions and also promote the development of deep space resources. Because of its excellent applicability to the uneven terrain and a lighter configuration than the four-legged mechanisms, the three-legged cushioning mechanisms are suitable for dissipating the impact energy and then quickly stabilizing the probe attitude when the probe lands on the micro-gravitational surfaces of the asteroids. Research on the landing dynamics of the probe facilitates to the design of the landing-cushioning mechanism and the optimization of its configuration, as well as the assessment of the landing safety. Comparing with the previous extensive related literature focusing on landing dynamics of the probes assisted by the four-legged cushioning mechanisms, this paper studies creatively the planar dynamics considering the asymmetric characteristic and the leg-leg coupling to understand the landing process of the asteroid probe with the three-legged cushioning mechanism and thereby to optimize the configuration of cushioning mechanism and assess safety margin of the landing. According to the touchdown status, the asymmetric landing modes are classified and the coupling issue in the construction of the landing models is explained. Consequently, two types of dynamics models describing the two-stages touchdown cushioning process of the probe are established. Then, five significant configuration factors of the cushioning mechanism are extracted, and their values combinations are designed according to the Taguchi orthogonal method. On this basis, the maximum safe landing attitude angles of the probe are solved by using these values combinations as the input conditions under the dangerous situations in different landing modes. The range analysis and nonlinear fitting methods are employed to discuss the influence of the configuration factors on the landing safety margin, and the favorable parameter values of the configuration factors are determined. Next, the influence of the ground obstacle on the landing safety margin and several methods to improve the margin are researched. Finally, the complete attitude changes of the probe in two representative landing cases are analyzed. The results studied in this paper can contribute to configuration optimization of the three-legged cushioning mechanisms and safety assessment of the legged probes landing on the asteroids, as well as to provide a reference for discussing the leg-leg coupling issue received less attention in landing dynamics of the probes with the four-legged cushioning mechanisms.     

基于平衡核函数聚类的飞行航迹数据分析方法

目前,使用数据挖掘的方法对目标的飞行航迹进行分析来确定航迹类别具有许多应用价值。飞行航迹数据具有维数高、交连多、可分类性能差等特点,要做到尽可能精确的聚类和分类十分困难。文章立足提高飞行航迹数据聚类分析的准确性,在航迹特征数据的预处理阶段,提出了一种平衡核函数的K-均值聚类方法,可以解决高维特征数据带来的奇异性,还能提高交叠样本的聚类性能;设计了一种模糊支持向量机的算法框架实现航迹的分类。通过实际飞行航迹数据集测试了设计框架下航迹聚类和分类识别的有效性,在实际工程上具有广泛的应用前景。     

基于数据挖掘和小波神经网络的航材消耗预测方法

运用数据挖掘技术对航材消耗的历史数据进行关联分析，筛选小对保障飞机飞行有重要作用的航材消耗数据，大大缩减了需要预测的航材数量，同时对消耗航材之间的内在影响关系进行量化。在分析人工鱼群算法原理的基础上，对算法中步长参数和视野范同参数的设置方法进行了改进。实例结果表明，运用小波神经网络预测航材消耗的方法大大降低了预测误差，说明了该方法的有效性、可行性和实用性。