基于N-BEATS的单站对流层天顶总延迟预报

高精度对流层延迟先验值有助于加速精密单点定位的快速收敛。基于高精度高分辨率气象数据库，采用深度学习N BEATS算法，进行了单站对流层天顶总延迟的预报试验。试验选取了9个IGS跟踪站，试验弧段从2002年1月至2019年6月共185a。首先基于N BEATS算法，设计了3种预报策略，然后基于前175a针对不同预报策略进行模型训练，并对最后365d的对流层天顶总延迟进行预报。试验结果表明，以该气象数据库为基准，12h以内预报弧段的预报残差均值量级大多可达亚毫米，2h、4h、6h的预报残差的标准差分别约为5mm、9mm、13mm。     

A method for satellite time series anomaly detection based on fast-DTW and improved-KNN

In satellite anomaly detection, there are some problems such as unbalanced sample distribution, fewer fault samples, and unobvious anomaly characteristics. These problems cause the extisted anomaly detection methods are difficult to train accurate classification model, and the accuracy of anomaly detection is hard to improve. At the same time, the monitoring data of satellite has high dimension and is difficult to extract effective features. Based on the DTW over-sampling method, this paper realizes the over-sampling of fault samples in satellite time series, and constructs a distributed and balanced time series data set. The Fast-DTW method is applied to calculate the distance between different time series, which can improve the speed of similarity calculation. KNN (K-Nearest Neighbor) method is applied for classification and the best classification result is obtained by search the optimal hyper-parameters k. The results show that the proposed method has high anomaly detection accuracy and consumes short calculation time.     

卫星动量轮灵敏性变异分析

基于模糊理论提出一种非线性卫星动量轮灵敏性变异分析的数值方法,以工程实际中的模糊相似关系转化为空间向量的模糊等价关系,来评估稳定系统的总体变异本质特征.并通过仿真均匀分布、线性分布以及周期分布的时间数据序列验证了该模型的可行性；以3套卫星动量轮实际稳态运转实验见证了该方法的实用性和有效性.其中动量轮A的最小灵敏系数为0.678，大于0.5阈值,表明其运转期间灵敏性十分良好；动量轮B的最小灵敏系数为0.439，小于0.5阈值,其运转期间灵敏性有所变异；动量轮C的最小灵敏系数等于0.5阈值,其关系最为模糊并介于稳定与变异之间.该模型实时预测并描述了动量轮灵敏性变异过程,且适用于诸多航天领域的非线性乏信息问题.      

Smooth free-cycle dynamic soaring in unspecified shear wind via quadratic programming

Harvesting wind energy is promising for extending long-endurance flights, which can be greatly facilitated by a flight technique called dynamic soaring. The presented study is concerned with generating model-based trajectories with smooth control histories for dynamic soaring maneuvers exploiting wind gradients. The desired smoothness is achieved by introducing a trigonometric series parameterization for the controls, which are formulated with respect to the normalized time.Specifically, the per...     

考虑滑移的螺栓连接动力学建模方法

螺栓连接结构受载时经常会出现滑移，这种滑移会影响结构的动力学性能，继而对结构的性能和寿命造成影响。本文以双螺栓连接结构为对象，通过实验和数值仿真手段研究滑移对结构模态特性的影响。实验结果表明，预紧力的增大会导致共振频率上升，而随着激励幅值增大，共振频率下降且每个周期能量耗散量对模态力的梯度增大。基于实验结果，结合考虑滑移的Iwan模型理论，建立非线性动力学模型，应用四阶龙格库塔法进行求解。根据计算结果对宏观滑移情况下的结构模态进行分析，发现此时二阶弹性模态中的共振频率下降量增大，能量耗散量对模态力的梯度降低。该数值计算模型可以很好地表征螺栓连接结构的模态特性，且计算效率高。     

基于HLS的红外遥感图像连通域快速提取方法

连通域提取是红外遥感图像目标检测算法中的重要组成部分,包含在粗检算法中,能够筛去多数虚警,提升粗检效果,减少检测算法的运算量,降低系统功耗。现有的一些连通域提取算法基于CPU处理方式设计,不适合部署在现场可编程逻辑门阵列(FPGA)硬件端。本文采用高层次综合(HLS)的开发模式,设计了适合FPGA加速的连通域提取方法,相比传统的硬件描述语言开发方法具有更高的灵活性和效率。通过只扫描一次二值图像,将面积、范围和连通信息均记录在远小于图像的等价表中,通过简化标记规则和等价表刷新的方法,既提高了运算速度又节省了大量缓存,最终在硬件平台实测256×256的8 bit图像达到了797帧/s的处理速度。