A permanent lunar base : Alternatives and choices

It appears virtually certain that humans will return to the lunar surface to stay and exploit the lunar resources. The only remaining question is who, when and how humankind will go there to establish a permanent lunar base. This article describes the decision-making process of determining the parameters of a lunar base. It offers modelling options as a frame of reference for planning the lunar base and its logistic support, and gives the reasons why a detailed analysis of the options and forward planning should have a high priority now.     

激光光纤准直系统的试验研究

介绍一种新的激光准直系统,该系统通过单模光纤建立新的光发射基准,从而有效地抑制了由于激光腔热变形而产生的光束漂移。另外,该系统采用了标量卡尔曼数字滤波器耒降低大气扰动和其他环境因素对测量的影响,在2.5m的测量范围内,系统稳定性可以控制在±1.5μm以下。该系统适用于作为形状误差和运动误差测量时的直线基准。     

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.     

Orbit determination of BDS-3 satellite based on regional ground tracking station and inter-satellite link observations

The BeiDou global navigation satellite system (BDS-3) has established the Ka-band inter-satellite link (ISL) to realize a two-way ranging function between satellites, which provides a new observation technology for the orbit determination of BDS-3 satellites. Therefore, this study presents a BDS satellite orbit determination model based on ground tracking station (GTS) observations and ISL ranging observations firstly to analyze the impact of the ISL ranging observations on the orbit determination of BDS-3 satellites. Subsequently, considering the data fusion processing, the variance component estimation (VCE) algorithm is applied to the parameter estimation process of the satellite orbit determination. Finally, using the measured data from China’s regional GTS observations and BDS-3 ISL ranging observations, the effects of ISL ranging observations on the orbit determination accuracy of BDS-3 satellites are analyzed. Moreover, the impact of the VCE algorithm on the fusion data processing is evaluated from the aspects of orbit determination accuracy, Ka-band hardware delay parameter stability, and ISL ranging observation residuals. The results show that for China’s regional GTSs, the addition of BDS-3 ISL ranging observations can significantly improve the orbit determination accuracy of BDS-3 satellites. The observed orbit determination accuracy of satellite radial component is improved from 48 cm to 4.1 cm. In addition, when the initial weight ratio between GTS observations and ISL ranging observations is not appropriate, the various indicators which include orbit determination accuracy, ISL hardware delay, and ISL observation residuals were observed to have improved after the adjustment of the VCE algorithm. These results validate the effectiveness of the VCE algorithm for the fusion data processing of the GTS observations and ISL ranging observations.     

SSPS-OMEGA超大型球形聚光器结构拓扑构型与设计

为同时兼顾千米量级尺度空间太阳能电站聚光系统的在轨发射安装难度、光学收集效率、稳定性及结构工艺等多方面的因素，提出采用基于球面正多面体的经纬线划分法模块化构建球形聚光器。该方法不仅可实现基础划分单元分布均匀、规格种类少，降低在轨构建与运载发射难度。而且只要合理控制弧高等分数和基础划分单元的口径就可以同时保证聚光系统的光学收集效率。理论与仿真结果显示，当弧高等分数为24时，该划分法共有25种基础单元件，整个球面被分成5762块。并且此时模块化构建的实际球形聚光器的光学收集效率与理想球面相比基本保持不变，解决了太阳能电站聚光系统设计中存在的关键问题。     

空间太阳能电站统一调度设计及电能管理分析

针对多旋转关节空间太阳能电站(Space Solar Power Station, SSPS)，提出一种环形拓扑的电力系统架构。基于功率分层准则对SSPS电力拓扑架构进行设计，提出U1~U7共7个层级、母线电压5000V、功率等级为MW的太阳能电站电力系统。针对分层架构中多太阳电池阵子阵并联(U6层)，提出分层功率平衡统一控制策略，对MPPT控制、MPPT控制+稳定直流母线电压混合控制、MPPT算法+下垂稳定直流母线电压混合控制三种控制方法开展仿真分析。结果表明，提出的基于虚拟阻抗的下垂控制策略可以有效调节、分配功率，解决了空间发电站母线电压无法稳定的问题。     

单颗磨粒磨削仿真研究进展

概述了传统磨削仿真的基本方法及发展过程,总结了磨粒模型和工件模型的研究现状,具体分析了有限元法、光滑流体粒子动力学法、分子动力学法以及综合仿真方法等应用于单颗磨粒磨削材料的去除机理、成屑机理、工件表面质量以及磨粒磨损等仿真中的研究现状,最后阐述了各类仿真方法的局限性,并提出了单颗磨粒磨削仿真进一步的发展前景。     

空间站常用元器件的霉菌敏感性研究

为研究空间站常用元器件的霉菌敏感性,选取空间站常用11大类元器件,针对霉菌对元器件的可能影响进行深入分析。基于空间站特定霉菌环境设计了加速试验方案,研究建立了基于元器件损伤程度的敏感等级分类方法,获取了不同元器件对霉菌的敏感性结果以及对应的敏感部位,为后续空间站用元器件质保工作的完善奠定基础。     

Grinding force and surface quality in creep feed profile grinding of turbine blade root of nickel-based superalloy with microcrystalline alumina abrasive wheels

Creep feed profile grinding of the fir-tree blade root forms of single crystal nickel-based superalloy was conducted using microcrystalline alumina abrasive wheels in the present study. The grinding force and the surface quality in terms of surface topography, subsurface microstructure, microhardness and residual stress obtained under different grinding conditions were evaluated comparatively. Experimental results indicated that the grinding force was influenced significantly by the competing predominance between the grinding parameters and the cross-sectional root workpiece profile. In addition, the root workpiece surface, including the root peak and valley regions, was produced with the large difference in surface quality due to the nonuniform grinding loads along the root workpiece profile in normal section. Detailed results showed that the surface roughness, subsurface plastic deformation and work hardening level of the root valley region were higher by up to 25%, 20% and 7% in average than those obtained in the root peak region, respectively, in the current investigation. Finally, the superior parameters were recommended in the creep feed profile grinding of the fir-tree blade root forms. This study is helpful to provide industry guidance to optimize the machining process for the high-valued parts with complicated profiles.     

利用等离子体通道实现空间太阳能无线能量传输

空间太阳能电站是高效利用太阳能的有效途径,受到了国际的广泛关注。空间无线能量传输技术是空间太阳能电站的关键技术之一。文章首先分析了微波与激光无线能量传输技术的问题,根据空间太阳能传输的具体需求进一步提出基于等离子体通道的无线能量传输技术,并对基于此项技术的空间太阳能传输系统进行了论证,完善并发展了空间太阳能传输模型。基于等离子体通道的无线能量传输技术为多个领域的能量补给提供了新颖的技术途径,是具有广阔应用前景的战略选择。