编队飞行卫星群构型保持及初始化

导出了基于相对轨道要素的编队飞行卫星群轨道相对运动控制的轨道机动方程；提出了编队飞行卫星群轨道相对运动控制的轨道机动控制策略，利用不同方向的脉冲控制相对运动的轨道参数，包括轨道平面内机动和轨道平面外机动控制。根据相对轨道要素的变轨机动控制，进行编队飞行卫星群构型的初始化。这样的构型初始化可以视作一次特殊的变轨机动控制，很容易实现编队飞行构型的初始化机动。     

计及摩擦时层合板孔内轴销的应力和位移分析

为解决含圆孔层合板在孔内轴销加载下的孔边应力问题，提出一个计及接触摩擦效应的弹性轴销模型，摩擦系数假设为沿接边界按正弦规律变化，在此基础上，采用弹性理论的一般方法，分析了轴销的应力和位移，为有效地解决有载孔层合板孔边应力问题提供了解析基础。     

卫星通信的产业化

回顾了中国发展卫星通信的简要历史，介绍了中国卫星通信的现状和作用。在调查国内用户需求的基础上，预测了１９８８－２００２年国内用户对卫星通信转发器需要的数量。     

研究用现场数据估计系统可靠性参数置信区间

研究用元部件现场信息估计系统可靠性参数,如系统可靠度、可靠寿命等区间估计问题。文中提出了一种新的估计方法——替换百分点法,并运用Monte Carlo数字仿真对估计的置信度和精度进行了分析,研究结果表明此方法具有工程应用价值。     

微量气味成分的自由基簇射技术脱除

研究了密闭体系中微量气味污染物的脱除作用与机理。采用电晕放电自由基簇射技术，实现了人工环境下氧化性自由基的产生；以电子自旋共振技术（ESR）对气态羟基自由基实施了捕集和检测，验证了在羟基自由基的存在下NH3被氧化为N2。通过U—I获得反应能耗和污染物去除效率为：NH3脱除效率为90．6％时，能耗1．0W。研究表明：自由基簇射技术产生的氧化性自由基可有效去除密闭生存环境中产生的NH3等微量有害气味成分，将在空间站等密闭生存系统内空气净化中有很好的应用前景。     

Image restoration of the asymmetric point spread function of a high-resolution remote sensing satellite with time-delayed integration

The calibration and validation team of the Korea Aerospace Research Institute has calibrated and validated the image data of the KOMPSAT-2 since the launch of KOMPSAT-2 on July 28, 2006. The asymmetric phenomenon of the point spread function of the KOMPSAT-2 image data is evident in both the along and the across direction, most likely because KOMPSAT-2 has a 1 m ground sample distance high-resolution camera with time-delayed integration. Furthermore, because KOMPSAT-2 is in space, the KOMPSAT-2 image data has been corrected with good results by means of modulation transfer function compensation.     

B65A-S钢动态力学性能及本构模型的研究

为了研究B65A-S钢的动态力学行为,采用Instron液压试验机和分离式霍普金森压杆试验装置,在不同应变率和不同温度条件下对圆柱形试样进行准静态和动态加载试验。试验结果表明,材料的屈服强度与流动应力随着温度升高而降低;在温度一定时,随着应变和应变率的增大,材料的流动应力增高,具有典型的温度软化、应变强化和应变率强化特性。最后基于Jonson-Cook本构模型对试验数据拟合,得到B65A-S钢的Johnson-Cook本构模型参数。     

基于电力综合集成的多绕组双流发电机技术分析

为解决采用传统发电机的移动电站输出电源种类单一,而采用多台发电机又会造成底盘过载影响机动性的问题,文章基于电力综合集成技术,分析研究实现发电机的双流发电的关键技术,突破发电机多绕组发电及励磁解耦等难题,减小了电机体积、降低了电机重量,有利于移动电站的多功能化与小型化设计。     

Drag Reducing and Increasing Mechanism on Triangular Riblet Surface

Drag reducing and increasing mechanism on riblet surface has been studied through computational fluid dynamics(CFD).Drag reduction is achieved through the optimization of riblet geometry which would affect flow structure inside riblet grooves.Force and flow structure on riblet surface are analyzed and compared with those of smooth surface based on the k-εturbulence model.Drag reducing and increasing mechanism is proved to be related to microvortexes induced inside riblets which lead to Reynolds shear stress reduction significantly and is considered to be the dominant factor resulting in wall friction reduction.Simulation results also show that the pressure drag generating from the deviation of static pressure on the front and rear ends of riblets occurs and grows exponentially with Mach number,which can cause drag increasing.Furthermore,near-wall vortical structures,Reynolds shear stress and static pressure on riblet surfaces are also analyzed in detail.     

High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere

Atmospheric water vapour plays an important role in phenomena related to the global hydrologic cycle and climate change. However, the rapid temporal–spatial variation in global tropospheric water vapour has not been well investigated due to a lack of long-term, high-temporal-resolution precipitable water vapour (PWV). Accordingly, this study generates an hourly PWV dataset for 272 ground-based International Global Navigation Satellite System (GNSS) Service (IGS) stations over the period of 2005–2016 using the zenith troposphere delay (ZTD) derived from global-scale GNSS observation. The root mean square (RMS) of the hourly ZTD obtained from the IGS tropospheric product is approximately 4 mm. A fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ECMWF ERA5) is used to obtain hourly surface temperature (T) and pressure (P), which are first validated with GNSS synoptic station data and radiosonde data, respectively. Then, T and P are used to calculate the water vapour-weighted atmospheric mean temperature (Tm) and zenith hydrostatic delay (ZHD), respectively. T and P at the GNSS stations are obtained via an interpolation in the horizontal and vertical directions using the grid-based ERA5 reanalysis dataset. Here, Tm is calculated using a neural network model, whereas ZHD is obtained using an empirical Saastamoinen model. The RMS values of T and P at the collocated 693 radiosonde stations are 1.6 K and 3.1 hPa, respectively. Therefore, the theoretical error of PWV caused by the errors in ZTD, T and P is on the order of approximately 2.1 mm. A practical comparison experiment is performed using 97 collocated radiosonde stations and 23 GNSS stations equipped with meteorological sensors. The RMS and bias of the hourly PWV dataset are 2.87/?0.16 and 2.45/0.55 mm, respectively, when compared with radiosonde and GNSS stations equipped with meteorological sensors. Additionally, preliminary analysis of the hourly PWV dataset during the EI Niño event of 2014–2016 further indicates the capability of monitoring the daily changes in atmospheric water vapour. This finding is interesting and significant for further climate research.