An attempt to study long-term variation of sporadic E layers using neural networks

Strong positive correlation between sporadic E layers and the solar activity and the long-term declining trend of Es were found in this paper. Then the feed-forward back propagation neural networks (NNs) were used to simulate the long-term variation of Es at four stations and predict foEs yearly average values. The inputs used for NNs are the yearly mean values of foEs in the daytime of the past ten years and the yearly averaged data of solar 10.7 cm radio flux (F107) of the present year, and the output is the present yearly mean value of daytime foEs. The outputs of trained NNs have high correlation with the desired values and the foEs yearly mean values predicted by NNs have good agreement with the observed data. The results indicate that NNs can make full use of the observed data to simulate the long variation rule of Es. Also, the results confirm the effect of solar activity on Es.     

时间频率设备自动监控系统的设计与实现CSCD

针对时间频率实验室设备实时监控的需求,在Microsoft NET平台上结合C++语言和Microsoft SQL server数据库技术,构建了时间频率设备自动监控系统。该系统可以实时监测设备的运行状态,并远程设置相关参数,在设备运行异常时,系统可自动弹出报警信息。实际应用表明系统具有较好的实用性、可维护性,为时间频率实验室的有序运行提供了保障。     

交会对接绕飞段多模态滑模控制

基于多模态滑模控制的理念,研究了交会对接绕飞段的控制问题。介绍了 多模态滑模切换函数的设计方法,并给出滑模面的存在条件和系统稳定性证明。采用分时 控制方法弱化系统变量之间的耦合,简化了控制系统的设计。对该控制系统进行了数值仿 真,结果表明：系统可以经由预想的绕飞轨线,由初态绕飞至终态,而且对初始状态具有很 好的适应性。
     

27-day variation in solar-terrestrial parameters: Global characteristics and an origin based approach of the signals

The Earth and the near interplanetary medium are affected by the Sun in different ways. Those processes generated in the Sun that induce perturbations into the Magnetosphere-Ionosphere system are called geoeffective processes and show a wide range of temporal variations, like the 11-year solar cycle (long term variations), the variation of ～27?days (recurrent variations), solar storms enduring for some days, particle acceleration events lasting for some hours, etc.In this article, the periodicity of ～27?days associated with the solar synodic rotation period is investigated. The work is mainly focused on studying the resulting 27-day periodic signal in the magnetic activity, by the analysis of the horizontal component of the magnetic field registered on a set of 103 magnetic observatories distributed around the world. For this a new method to isolate the periodicity of interest has been developed consisting of two main steps: the first one consists of removing the linear trend corresponding to every calendar year from the data series, and the second one of removing from the resulting series a smoothed version of it obtained by applying a 30-day moving average. The result at the end of this process is a data series in which all the signal with periods larger than 30?days are canceled.The most important characteristics observed in the resulting signals are two main amplitude modulations: the first and most prominent related to the 11-year solar cycle and the second one with a semiannual pattern. In addition, the amplitude of the signal shows a dependence on the geomagnetic latitude of the observatory with a significant discontinuity at approx. ±60°.The processing scheme was also applied to other parameters that are widely used to characterize the energy transfer from the Sun to the Earth: F10.7 and Mg II indices and the ionospheric vertical total electron content (vTEC) were considered for radiative interactions; and the solar wind velocity for the non-radiative interactions between the solar wind and the magnetosphere. The 27-day signal obtained in the magnetic activity was compared with the signals found in the other parameters resulting in a series of cross-correlations curves with maximum correlation between 3 and 5?days of delays for the radiative and between 0 and 1?days of delay for the non-radiative parameters. This result supports the idea that the physical process responsible for the 27-day signal in the magnetic activity is related to the solar wind and not to the solar electromagnetic radiation.     

数字存储示波器检定方法探讨

讨论了数字存储示波器垂直偏转因数、水平时基、脉冲宽度触发测量方法。以TDS 7104为例,给出了数字存储示波器垂直偏转因数、水平偏转因数、频带宽度及上升时间的测量结果的测量不确定度。     

三叉杆式万向联轴器采用调心轴承时的运动分析

分析了三叉杆式万向联轴器采用调心轴承时输出转角和输入转角之间的关系式,并得出这种联轴器为准等角速传动万向联轴器的结论;讨论了轴偏转角大小对输出输入转角差值的影响,分析表明,这种联轴器中转角差值的变化周期是输入轴自转周期的3倍。     

太阳同步卫星轨道参数的容许偏差分析

飞行任务对卫星轨道提出指标要求，这些指标决定了卫星轨道参数的容许偏差范围。结合太阳同步(准)回归轨道卫星的轨道特性，针对覆盖重叠率、太阳同步等指标，使用解析方法讨论了大气阻力摄动影响下轨道参数的容许偏差，通过分析可以初步确定轨道控制策略及能量需求，最终为轨道保持方法的设计提供参考和依据。     

Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on Wavelet Transformation

针对基于大气紊流激励的飞机颤振试验数据具有信噪比低以及测量数据以加速度响应形式给出等特点,将小波变换与随机减量法相结合对飞机颤振模态参数进行识别,首先利用随机减量法获得结构在非零初始加速度条件下的自由衰减响应,然后对该自由衰减响应进行Morlet连续小波变换,为使变换简单,本文采用了Parseval定理和留数定理,利用Morlet的带通滤波特性,通过搜索小波变换系数在不同的尺度区域内的极大值,再根据小波变换系数的极大值、相角与固有振动频率及阻尼系数间的关系,即可识别出各模态参数。并对利用小波变换识别颤振模态参数时,实现模态解耦应满足的条件进行了分析研究。通过仿真和飞机颤振试验数据分析,验证了该识别方法不仅简单、有效和可行,而且具有较强的抗噪性。     

Breaking the geometry-performance tradeoff in compressor deviation modeling:Nested principal component analysis

Uncertainties in the aerodynamic performance of compressors,introduced by manufac-turing variations,have received more and more attentions in recent years.The deviation model plays a crucial role in evaluating this uncertainty and facilitating robust design.However,current deviation models with a few variables cannot simultaneously achieve a precise geometric approxi-mation of deviation and provide an accurate assessment of performance uncertainty.This paper introduces a novel deviation modeling method named Nested Principal Component Analysis(NPCA)to break this tradeoff.In this method,both geometry-based and performance-based modes are utilized to describe manufacturing variations.By considering aerodynamic sensitivity,surface deformations that significantly impact aerodynamic performance can be extracted for deviation modeling.To demonstrate the superiority of this newly proposed method,ninety-eight newly man-ufactured compressor rotor blades were measured using a coordinate measurement machine,and both NPCA and Principal Component Analysis(PCA)were employed to model the real manufac-turing variations.The results indicate that,in comparison to the PCA method,the NPCA method achieves an equivalent level of accuracy in geometric reconstruction and evaluation of mean perfor-mance.Furthermore,the same level of accuracy can be obtained with eight NPCA modes and fifty PCA modes when assessing the scatter in aerodynamic performance.Finally,the working mecha-nism of the NPCA method for accurate uncertainty quantification was further investigated.