航天器与空间碎片的混合编队重构控制与应用

针对空间碎片清理问题,提出了一种利用航天器与空间碎片混合编队队形重构控制技术捕获碎片的方法。首先,分析了地/月—日系L2拉格朗日平动点附近的限制性三体环境,并建立了编队卫星相对运动动力学模型;其次,提出了以太阳光压力作为航天器与空间碎片编队队形重构的控制力,实现各从星接近空间碎片的目的;最后,设计了基于线性二次型的最优控制器,并在Matlab/Simulink环境下进行仿真实验。仿真结果表明该方法可控制从星到达期望的位置(空间碎片的位置),且太阳帆板的姿态变化在可控范围内,进而证明了该方案可以应用于复杂空间环境下的碎片清理任务。     

基于GMF方法的捕风一号风速反演分析

全球尺度高时空分辨率海面风场探测是当前全球气象研究及预报预测领域的关注热点之一,传统海面风场探测技术存在测量区域有限,且受天气环境限制明显等问题.基于全球导航卫星系统-反射(GNSS-R)测量技术风速反演原理,以捕风一号1级数据产品为输入,欧洲中期天气预报中心再分析风速数据为参考风速,采用地球物理模型函数(GMF)方法...     

CROMEMCO LISP符号微分程序系统

本文说明了符号微分程序系统的一些特征、功能、设计思想和程序设计技术。 该系统是使用人工智能专用语言LISP写成的,并且已经在CROMEMCO系统Ⅲ微型计算机上正确地运行。文中还给出了在该机器上求出的一些复杂函数的符号微分实例。     

Comparison between observed ionospheric foF2 and IRI-2001 predictions over periods of severe geomagnetic activities at Grahamstown,South Africa

The observed ionospheric F2 critical frequency (foF2) values over a South Africa mid-latitude station, Grahamstown, (geographic coordinates: 33.3°S, 26.5°E), were analysed and compared with International Reference Ionosphere (IRI) model, using the CCIR (Comite´ Consultatif International des Radio communications) and URSI (Union Radio-Scientifique Internationale) coefficients, during four geomagnetically disturbed days in the year 2000. These days are April 5, May 23, August 10 and September 15. The data were analysed for five days around the storm day. Comparisons between the IRI-2001 predicted foF2 values, using both CCIR and URSI coefficients and the observed values are shown with their root-mean-square error (RMSE) and the relative deviation module mean (rdmm) for the various storm periods. The CCIR option performed more accurately than the URSI option.     

Stochastic modelling considering ionospheric scintillation effects on GNSS relative and point positioning

Global Navigation Satellite Systems (GNSS), in particular the Global Positioning System (GPS), have been widely used for high accuracy geodetic positioning. The Least Squares functional models related to the GNSS observables have been more extensively studied than the corresponding stochastic models, given that the development of the latter is significantly more complex. As a result, a simplified stochastic model is often used in GNSS positioning, which assumes that all the GNSS observables are statistically independent and of the same quality, i.e. a similar variance is assigned indiscriminately to all of the measurements. However, the definition of the stochastic model may be approached from a more detailed perspective, considering specific effects affecting each observable individually, as for example the effects of ionospheric scintillation. These effects relate to phase and amplitude fluctuations in the satellites signals that occur due to diffraction on electron density irregularities in the ionosphere and are particularly relevant at equatorial and high latitude regions, especially during periods of high solar activity. As a consequence, degraded measurement quality and poorer positioning accuracy may result.     

Upper limit of the total magnetic flux in an active region according to the photometric-magnetic dynamical model

The photometric-magnetic dynamical model handles the evolution of an individual sunspot as an autonomous nonlinear, though integrable, dynamical system. One of its consequences is the prediction of an upper limit of the sunspot areas. This upper limit is analytically expressed by the model parameters, while its calculated value is verified by the observational data. In addition, an upper limit for the magnetic strength inside the sunspot is also predicted, and then, we obtain the following significant result: The upper limit of the total magnetic flux in an active region is found to be of about 7.23 × 10²³ Mx, namely, phenomenologically equal to the magnetic flux concentrated in the totality of the granules of the quiet Sun, having a typical maximum magnetic strength of about 12G. Therefore, the magnetic flux concentrated in an active region cannot exceed the magnetic flux concentrated in the photosphere as a whole.     

Comparison of ionospheric F2 peak parameters foF2 and hmF2 with IRI2001 at Hainan

Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with quarter-hourly time interval resolution for the diurnal variation, obtained with DPS4 digisonde at Hainan (19.5°N, 109.1°E; Geomagnetic coordinates: 178.95°E, 8.1°N) are used to investigate the low-latitude ionospheric variations and comparisons with the International Reference Ionosphere (IRI) model predictions. The data used for the present study covers the period from February 2002 to April 2007, which is characterized by a wide range of solar activity, ranging from high solar activity (2002) to low solar activity (2007). The results show that (1) Generally, IRI predictions follow well the diurnal and seasonal variation patterns of the experimental values of foF2, especially in the summer of 2002. However, there are systematic deviation between experimental values and IRI predictions with either CCIR or URSI coefficients. Generally IRI model greatly underestimate the values of foF2 from about noon to sunrise of next day, especially in the afternoon, and slightly overestimate them from sunrise to about noon. It seems that there are bigger deviations between IRI Model predictions and the experimental observations for the moderate solar activity. (2) Generally the IRI-predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the experimental results, but there is a relatively good agreement in summer at low solar activity. The deviation between the IRI-predicted hmF2 using CCIR M(3000)F2 and observed hmF2 is bigger from noon to sunset and around sunrise especially at high solar activity. The occurrence time of hmF2 peak (about 1200 LT) of the IRI model predictions is earlier than that of observations (around 1500 LT). The agreement between the IRI hmF2 obtained with the measured M(3000)F2 and the observed hmF2 is very good except that IRI overestimates slightly hmF2 in the daytime in summer at high solar activity and underestimates it in the nighttime with lower values near sunrise at low solar activity.     

航天器测试语言及其运行平台研究

针对测试序列自动执行程度低影响航天器测试效率的问题,提出了一种可控制流程的 高级语言形式的新型航天器测试语言（STL）,并对其语言执行机构进行研究,设计并实现 了基于插件技术的以解释器为核心的集成开发环境——航天器测试语言运行平台。实践表 明航天器测试语言具有较强的通用性与实用性,该语言运行平台能够有效降低航天器地面测 试强度,节约测试成本,提高测试效率。
     

整体壁板结构弯曲成形分析的等效塑性模型

大型整体壁板结构参数及成形工艺参数优化需要对壁板成形进行大量的非线性仿真计算,详细模型在计算时间和资源消耗方面难以接受,且不易收敛。通过弹塑性力学及回弹分析,基于应力和回弹后的变形等效,考虑了材料塑性变形强化效应,将整体壁板简化为某一虚拟材料的平板进行弹塑性弯曲等效分析。压弯和滚弯成形数值算例分析表明:在工程常用的弯曲半径范围内,变形计算误差在3.5%以内,应力误差在5%以内;等效模型大大减小了建模时间和资源,计算效率提高了70%以上,且计算易收敛;等效模型可以替代详细模型,为大型整体壁板结构参数及工艺参数优化、大型复杂形状壁板成形提供了快捷的分析方法。     

基于修正模型的天线指向误差统计特性分析

作为评估天线性能的重要指标之一,天线指向精度直接影响着天线的跟踪观测性能。为了适应任务需求,提高天线及星地链路分析精度,本文基于指向误差修正模型对模型各分量的影响因素含义进行了系统分析,并定量研究了各个分量对指向误差的影响。基于各模型参数的分布特性,提出了一种指向误差概率分布模型,进一步完善了天线指向误差分析计算方法,最后利用天线的典型参数分析计算了天线指向误差角近似满足修正瑞利分布下的特征,可为后续星地链路统计分析提供参考依据。