基于地月L1点的载人登月飞行方案分析

为解决传统载人登月方案中重型运载火箭难以研制、交会对接窗口选择困难等问题,提出了符合我国现有技术条件的基于地月L1点的载人登月方案设想。基于对圆形限制性三体模型和地月三,点特性的分析,将载人登月任务划分为不同的飞行阶段,研究了载人登月任务的规模、系统组成以及各舱段的质量分配等。通过与基于环月轨道方案各参数的分析和对比,提出通过付出较小代价将基于环月轨道的载人登月方案转化为基于地月,L1点的载人登月方案的方法。结果分析表明,经方案转化,不但能充分发挥地月L1点的优势,而且在一定条件下可以使节省燃料成为可能。     

航天器空间自主交会故障诊断与容错控制的集成设计

提出了一种航天器圆轨道自主交会故障诊断与容错控制的集成设计方法。在考虑推力器输出约束的情况下,完成了故障诊断与容错控制的集成设计,该集成设计包括鲁棒容错控制器设计和鲁棒故障观测器设计两大部分。为了提高交会过程中的过渡性能,对该控制器完成了鲁棒D稳定性分析。仿真表明该设计具有良好的动态性能和对推力器故障的容错性,并且能够快速准确地诊断出推力器和交会敏感器的故障。     

Near real-time estimation of tropospheric water vapour content from ground based GNSS data and its potential contribution to weather now-casting in Austria

The importance of high resolution meteorological analysis of the atmosphere increased over the past years. A detailed analysis of the humidity field is an important precondition for a better monitoring of local and regional extreme precipitation events and for forecasts with improved spatial resolution. For this reason, the Austrian Meteorological Agency (ZAMG) is operating the spatial and temporal high resolution INCA system (Integrated Now-casting through Comprehensive Analysis) since begin of 2005. Errors in this analysis occur mainly in the areas of rapidly changing and hard to predict weather conditions or rugged topography with extreme differences in height such as the alpine area of Austria. The aim of this work is to provide GNSS based measurements of the tropospheric water vapour content with a temporal resolution of 1 h and a temporal delay of less than 1 h to assimilate these estimates into the INCA system. Additional requirement is an accuracy of better than 1 mm of the precipitable water (PW) estimates.     

改进PointNetLK的点云智能配准与位姿图优化方法

针对空间在轨服务任务中的非合作目标相对位姿测量问题,提出一种目标可测部位点云的智能配准方法。首先,通过Straight Through滤波算法对半物理仿真平台采集得到的点云进行目标提取,以消除背景数据等杂乱信息;其次,改进PointNetLK神经网络点云配准算法,将提取后的点云数据作为输入,从而获得初步配准结果,解决非合作目标先验信息缺失导致的无法配准问题;最后,建立基于位姿图的优化模型,以降低配准误差,提高配准精度。实验结果表明,与传统迭代最近点(ICP)算法相比,配准综合误差从6.3598降低到1.7291,精度提高约 72.81% 单次耗时从33.16 s降低到4.2 s,效率提升约87.33%,与当前SM ICP等其他算法相比,也具有一定的优势。     

82-92km高度范围大气湍流能量耗散率的一个个例研究

使用Chaff和落球火箭测量的垂直速度和温度数据研究湍流结构和它的产生.结果表明湍流存在多层桔构.在强湍流层,动力不稳定,和MST雷达回波功率间有好的相关,认为强湍流层和雷达回波与动力不稳定有关.水平速度垂直波数谱表明,观测谱与他和谱模式有极好的一致,认为强湍流层和雷达回波通过动力不稳定直接与重力波饱和相联系.      

基于经验模分解的PPP时间比对数据消噪方法

精密单点定位(PPP)时间比对数据会受到观测噪声的影响,因此对时间比对数据进行消噪是一项重要工作。提出一种基于经验模分解(EMD)的PPP时间比对数据消噪方法,并将该方法与Vondrak滤波方法的消噪效果进行对比。结果表明,两种方法的消噪效果相当,均能有效滤除PPP时间比对数据中的随机噪声,明显改善时间比对的稳定度。     

The impact of orbital errors on the estimation of satellite clock errors and PPP

Precise satellite orbit and clocks are essential for providing high accuracy real-time PPP (Precise Point Positioning) service. However, by treating the predicted orbits as fixed, the orbital errors may be partially assimilated by the estimated satellite clock and hence impact the positioning solutions. This paper presents the impact analysis of errors in radial and tangential orbital components on the estimation of satellite clocks and PPP through theoretical study and experimental evaluation. The relationship between the compensation of the orbital errors by the satellite clocks and the satellite-station geometry is discussed in details. Based on the satellite clocks estimated with regional station networks of different sizes (∼100, ∼300, ∼500 and ∼700 km in radius), results indicated that the orbital errors compensated by the satellite clock estimates reduce as the size of the network increases. An interesting regional PPP mode based on the broadcast ephemeris and the corresponding estimated satellite clocks is proposed and evaluated through the numerical study. The impact of orbital errors in the broadcast ephemeris has shown to be negligible for PPP users in a regional network of a radius of ∼300 km, with positioning RMS of about 1.4, 1.4 and 3.7 cm for east, north and up component in the post-mission kinematic mode, comparable with 1.3, 1.3 and 3.6 cm using the precise orbits and the corresponding estimated clocks. Compared with the DGPS and RTK positioning, only the estimated satellite clocks are needed to be disseminated to PPP users for this approach. It can significantly alleviate the communication burdens and therefore can be beneficial to the real time applications.     

大气湍流退化图像多帧盲复原

针对图像盲复原时PSF（点扩散函数）尺寸参数对复原效果影响较大,提出一种点扩散函数尺寸自适应估计算法,该算法以均方误差为代价函数,通过遍历搜索点扩散函数有限支持域,克服了点扩散函数尺寸参数选择难的问题。仿真结果表明,估计的点扩散函数尺寸接近真实尺寸,对于大气湍流变化快的情形,改进算法取得了较好的图像复原效果。     

基于粒子群优化的光伏阵列最大功率点跟踪法研究

光伏阵列在局部阴影条件下,出现反向雪崩效应,导致输出功率出现多个局部极大值点,此时常规的最大功率点跟踪（MPPT）失效。基于比较完善的光伏电池遮挡模型,对光伏阵列进行建模,验证其输出功率的多峰特性。提出一种基于粒子群优化算法（PSO）的多峰最大功率点跟踪方法,并积累粒子个体搜索经验,提高跟踪速度。仿真表明,当外界条件变化时,此方法可以快速跟踪光伏模块的最大功率,从而有效地利用能源。     

旋转与比例不变点特征松弛匹配算法的Hopfield神经网络实现

本文在旋转与比例不变点特征松弛匹配方法的基础上，提出了用Ｈｏｐｆｉｅｌｄ神经网络实现该匹配过程的方法，通过对模拟图象进行的大量实验，得到了令人满意的结果，证实了采用Ｈｏｐｆｉｅｌｄ神经网络完成旋转与比例不变点特征松弛匹配过程的有效性和可行性。