A method for automatic detection and characterization of plasma bubbles using GPS and BDS data

Detecting and characterizing Total Electron Content (TEC) depletion is important for studying the ionospheric threat due to the Equatorial Plasma Bubble (EPB) when applying the Ground-Based Augmentation System (GBAS) at low latitudes. This paper develops a robust method to automatically identify TEC depletion and derive its parameters. The rolling barrel algorithm is used to automatically identify the TEC depletion candidate and its parameters. Then, the depletion candidates are screened by several improved techniques to distinguish actual depletions from other phenomena such as Traveling Ionospheric Disturbance (TID) or abnormal data. Next, based on the depletion signals from three triangular receivers, the method derives EPB parameters such as velocity, width and gradient. The time lag and front velocity are calculated based on cross-correlation using TEC depletions and the geometrical distribution of three triangular receivers. The width and gradient of slope are then determined by using TEC depletion from a single receiver. By comparison, both the station-pair method and proposed method depend on the assumption that the EPB morphology is frozen during the short time when the plasma bubble moves between the receivers. However, our method relaxes the restriction that the baseline length should be shorter than the width of slope required by the station-pair. This relaxation is favorable for studying small-scale slope of depletions using stations of a longer baseline. In addition, the accuracy of the width and gradient is free of impact from hardware biases and small-scale disturbance, as it is based only on the relative TEC variation. The method is demonstrated by processing Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) data on 15 August, 2018, in a solar minimum cycle.     

Impact of local and global factors and meteorological parameters in temporal variation of atmospheric potential gradient

In this research work, we have performed comparative diurnal variations of atmospheric Potential Gradient (PG) of fair-weather days by using the data of three stations installed in Northern, Pakistan for the year 2018. We investigated the impact of both local and global factors and meteorological parameters in the diurnal variation of atmospheric Potential Gradient on the annual and seasonal time scale. We observed two peaks, primary and secondary. This is because of the land-based measurements of annual and seasonal variations. The annual average curve of Potential Gradient of all three stations: Islamabad (CES), Muzaffarabad (MZF), and Balakot (BKT) demonstrated a notable deviation from the standard oceanic Carnegie curve. The atmospheric Potential Gradient variations are due to numerous meteorological factors e.g., air pollution, humidity, aerosol particles, fog, and temperature. Among three stations, the MZF station is located in highland (mountainous) and it demonstrated a higher atmospheric Potential Gradient. We further differentiate the results of our three stations with global results for authenticity and observed coherence between them. In addition, a positive correlation of fair-weather Potential Gradient is observed with temperature and a notable correlation between relative humidity and atmospheric Potential Gradient for all the three observatories.     

基于神经网络的重力卸载系统控制器设计

吊挂系统是地面模拟空间机械臂重力卸载试验的重要方法之一。针对传统PID控制方式动作响应慢、鲁棒性差等缺点，提出了一种基于径向基函数（RBF）神经网络的智能控制方式。该方式有很强的非线性拟合能力，且学习规则简单，可映射任意复杂的非线性关系，便于计算机实现。利用该特性，设计了一种重力卸载精度较PID控制方式更高的控制器。该控制器应用正交最小二乘法辨识的控制模型，在带负荷的伺服电机数学模型条件下，使用基于梯度下降法更新权重的RBF神经网络，最后通过s 函数编写，得到Matlab仿真图像。仿真结果与PID控制方法相比响应迅速，鲁棒性强，重力卸载精度更高（98%）。     

有压梯度边界层流中湍流斑形成的机制研究

人们虽然对层流向湍流转捩过程的研究已经付出了许多艰辛的努力,但仍然有一个重要的物理现象还没有弄清楚,即有压梯度边界层转捩过程中湍流斑形成的理论机制以及湍流斑的运动特征是什么?这些问题正有待于人们做进一步的深入探索.本文提出一种以壁面局部脉冲的初始小扰动场来模拟有压梯度边界层流中湍流斑形成的物理模型.采用直接数值模拟的方法研究有压梯度边界层流中湍流斑产生的理论机制和发展规律;数值结果显示,它们在好多方面与湍流斑的基本特征相符.     

离子束抛光定位精度分析

从理论上建立了离子束抛光中切向定位误差对加工残差影响的模型,分析发现了该误差对加工残差的影响与面形的梯度有关.特别地分析了定位误差对不同频率成份误差的影响规律,并进行了仿真研究,验证了残差大小与相对定位误差成正比这一结论.同时利用相对定位误差对残差影响理论,评价了KDIBF1600离子束抛光机的设计精度,机床设计精度满...     

基于超导的重力梯度敏感线圈电磁特性分析

为了利用超导块体的完全抗磁性与敏感线圈的电感变化测量重力梯度,需要对敏感线圈的电磁特性进行分析.利用盘状超导敏感线圈产生磁场,首先分析单匝线圈在场点产生的磁感应强度,再通过叠加得到场点的总磁感应强度.选取设计参数对线圈外小间距范围内的磁感应强度进行计算可知,径向分量沿线圈径向保持稳定值,而轴向分量变化较大.质量块对总磁...     

可压缩混合层密度梯度场特性的实验研究

利用纹影技术研究了不同对流马赫数(Mc=0.28,0.38,0.72)可压缩混合层密度梯度场的特性。由纹影图像可以看出:具有可压缩效应(高Mc数)的混合层存在不同程度的摆动。将纹影图像对比以后还发现:当Mc<0.3时,在可压缩混合层中发现了类似于Brown-Roshko的结构,混合层看不出明显的摆动;随着可压缩效应的增强(对流马赫数Mc>0.3),混合层开始摆动,并且随着对流马赫数的增大,混合层开始摆动位置向前移动。此外,还观察到不同对流马赫数下大尺度结构出现的区域有不同的特点。     

基于边界涡量流的二维叶型优化建模与求解

针对二维叶片整体造型优化问题,提出一种基于边界涡量流的二维叶型优化模型,并对该模型进行求解。建立以含参数的Bezier曲线定义的二维叶型型线为边界、以边界涡量流正峰值的最小化为目标函数的优化模型,通过分析边界涡量流的生成机制,把叶型型线边界信息代入边界涡量流中,将边界涡量流用叶型型线参数和型线上的气动参数表示,进而获得新的目标函数表达式。该目标函数表达式可直接对叶型型线参数求导,仅使用简单的定步长梯度算法即可对优化模型求解。结果表明:优化后的叶型型线上的边界涡量流的正峰值显著降低。     

金属梯度多孔夹芯板振动特性分析

金属梯度多孔材料芯层的胞孔壁厚度及半径沿芯层厚度方向逐渐变化,使得芯层的材料参数如密度和弹性模量等逐渐变化;采用金属梯度多孔材料代替传统均质多孔芯层会影响夹芯板的振动特性。基于高阶夹芯板理论且考虑梯度多孔芯层密度和弹性模量的耦合影响,建立了复合材料面层-金属梯度多孔夹芯板的振动方程。分析了3种密度的梯度芯层:单向分布、正梯度对称分布和负梯度对称分布对夹芯板固有频率的影响;最后讨论了3种梯度夹芯板在相同三角脉冲载荷作用下的振动响应。计算结果表明梯度芯层密度对称分布的夹芯板固有频率大于单向分布的夹芯板固有频率。     

流体的压强梯度是决定升力的重要因素

认为经典升力理论遗漏了一个决定升力的重要因素：流体的压强梯度。指出：地球上的流体都具有压强梯度,这是由地球引力引起的流体的一种不均匀性,这种不均匀性会在流体的运动中表现出来。运用“升腾效应”和“擅升效应”解释了一些与升力有关的现象,特别是解释了机翼的展弦比、机翼的厚度、雷诺数等对升力的影响,并设计了几个检验这两个效应的试验方法。