RTK model and positioning performance analysis using Galileo four-frequency observations

This paper proposes a real-time kinematic (RTK) model that uses one common reference satellite for the Galileo system with four frequency observations. In the proposed model, the double-differenced (DD) pseudorange and carrier phase biases among the different frequencies are estimated as unknown parameters to recover the integer features of the DD ambiguities among the different frequencies for ambiguity resolution and precise positioning. Analysis results show that the E5a, E5b, and E5 frequencies have virtually the same performance in terms of the positioning accuracy, observation residuals, and ratio values of ambiguity resolution. However, the E1 frequency performs worse than the E5a, E5b, and E5 frequencies. The RTK results for the combination of multiple frequencies are much better than those for a single-frequency observation, the coordinates’ standard deviation is improved about 20–30%, and the ambiguity fix time is improved about 10%.     

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.     

宽带高集成多级射频互连技术

针对微波电路三维集成结构的迫切需求,开展宽带高集成多级射频互连技术研究。主要设计了两种电路结构,多级水平互连电路与多级垂直互连电路。多级水平互连电路中,通过优化同轴-微带线的水平过渡以及倒角过渡方式,得到在DC～30GHz内的仿真结果,回波损耗优于21dB,插入损耗优于0.16dB;多级垂直互连电路中,通过优化BGA板间互连结构,得到在DC～30GHz内的仿真结果,信号的回波损耗优于13dB,插入损耗优于0.57dB。在小型化、高集成的需求下,宽带高集成多级射频互连技术是解决宽带射频信号传输问题的关键技术路径,可以广泛应用在微波电路三维集成结构中,具有重大的应用前景。     

电子束表面造型对液冷冷板散热性能影响研究

为了获得电子束表面造型对液冷冷板散热性能的影响规律,对带有柱状表面造型的液冷冷板进行数值模拟。结果表明,当冷却液通道中存在柱状表面造型时,可有效提高冷板的散热性能,其中造型高度对冷板的散热性能影响最大,造型流向间距的影响其次,造型直径的影响最小;当柱状造型直径1mm、高度6mm且相邻造型的流向间距为4mm时,冷却液与模拟发热芯片的温差为46.08℃,该冷板的散热性能与空白试样对比可提升23.23%。之后根据模拟结果,制备了具有不同表面造型特征的液冷冷板试样,散热性能测试结果表明,通道内制备柱状造型可提高冷板散热性能达13%以上;但当柱状造型高度4mm,且造型数量较少时,改变柱状造型特征对提升冷板散热性能的影响较小。     

纤维织物超高速碰撞热-力学模型与分析

A new thermo mechanical model for fiber fabric of hypervelocity impact is established by using the Johnson Cook model, the Gruneisen equation of state and the FEM SPH coupling algorithm, while some new factors are taken into account such as the heat generation, strain rate strengthening and high temperature softening of materials. Mechanical and thermal information could be obtained with the model, such as penetration, fragmentation, stress and strain, heat generation and temperature field of fiber fabric. The analysis results are in good agreement with the experimental results.     

不同重力环境下空间机构电机驱动力差异

为了分析空间机构在不同重力环境中的驱动力差异，以单关节机械臂为研究对象，进行不同重力环境下直流电机驱动力差异分析。首先基于拉格朗日方程推导出单关节机械臂的动力学模型，为分析不同重力环境下，负载、摩擦和转速的变化对电机驱动力的影响，通过设计一套基于单关节驱动的机械臂试验装置，进行地面重力环境、地面模拟微重力环境和落塔微重力环境试验。然后基于试验数据详细分析了不同重力环境下空间机构电机驱动电流的差异，并基于试验数据对电机动力学方程中的摩擦参数进行辨识，从而获得基于试验数据修正的机械臂动力学仿真模型，为空间机构动力学设计与应用提供理论与试验依据。     

热力学排气系统中节流效应及其冷量利用分析

为更好地理解热力学排气系统(TVS)的运行机理，优化其运行参数，针对节流装置，建立了热力学模型，讨论了节流过程中状态参数的变化规律，对比了单相气体、单相液体节流的性能特性，进一步揭示了焦汤节流效应的原理，分析了不同节流背压下节流前低温工质(液氢和液氧)压力和温度对节流性能的影响，并结合TVS实际应用，阐述了节流最大制冷量的利用效果，提出了优化的TVS工作区间。研究表明：在节流过程不发生相变情况下单相气体节流制冷效应要比单相液体节流制冷效应更加显著；而在节流过程发生相变情况下液体节流至两相后，由于空化吸热导致流体温度降低，对于液氢，0.5MPa的压降可产生接近3 K的温降。对于液体节流，节流前压力对节流过程影响可忽略，〖JP2〗而节流前温度和节流背压对节流过程起主导作用；对于液氢在在轨运行工况下，考虑到节流制冷量的充分利用，同时保证换热过程体积含气率不高于90%，推荐TVS系统中节流背压范围为75～143 kPa。     

减压腔宽度对刷式密封泄漏特性和滞后效应的影响

对减压腔轴向宽度分别为0、04 mm和06 mm的基本型和两种低滞后刷式密封结构进行了静态和动态下压差升降和转子转速升降循环试验,并对其泄漏特性和滞后效应进行了研究。研究结果表明:压差大于02 MPa后,同一压差下的动态泄漏系数比静态降低约14%~20%;低滞后结构的密封性能优于基本型,其泄漏系数最高比基本型降低约20%;静态压差升降循环中,减压腔轴向宽度为06 mm的低滞后结构的滞后效应最强;动态的压差升降循环中,基本型结构的滞后效应最强。转子转速升降循环前后,w为06 mm结构泄漏系数减小约15%,滞后效应最强,减压腔轴向宽度为04 mm结构几乎不存在滞后效应;三种结构中,减压腔轴向宽度为04 mm的结构密封性能最优,滞后效应也最弱。     

风扇/压气机周向模态识别中传感器角度偏差的影响

基于任意角度压缩感知(CS)方法分析了传感器安装角度偏差对风扇/压气机周向模态识别重构的影响,设计了一套自适应角度优化程序修正重构误差。利用数值试验探究了传感器角度偏差和数量对周向模态重构结果的影响,研究表明:当角度偏差等级为2.5%时,平均重构误差达到10%以上,若保证重构误差基本不变,将传感器数量从7个增加至25个,仅可以将角度偏差等级放宽至4%。而采用小生境微种群遗传算法进行自适应角度优化,在20 dB信噪比下,通过自适应角度优化可将角度偏差等级从2.5%放宽至10%,降低了传感器安装的精度要求。成功优化了一款冷却风扇在前三阶叶片通过频率下的主要周向声模态重构幅值。自适应角度优化算法有效提升了基于压缩感知的风扇/压气机周向模态重构可靠性。     

激励参数对合成射流控制压气机流动分离的影响

对吸力面施加合成射流激励的高负荷压气机静叶栅展开数值模拟,系统地研究不同激励参数对单缝合成射流改善叶栅气动性能的影响,并探索分段式合成射流控制流动分离的有效性。研究结果表明,单缝合成射流对栅内流动的作用效果主要取决于两个因素:射流切向动量注入带来的气动性能改善与射流输运过程的附加流动损失。单缝合成射流具有较为宽广的有效频率范围,当激励频率等于主流流过叶型的频率且射流满足有效激励动量要求时,对叶栅气动性能的改善效果最佳,总压损失降低约14.26%。分段式合成射流能够较好地适应不同叶高处分离起始点沿轴向变化对最佳流动控制位置的要求,在不增加有效射流面积的前提下可较单缝射流更为有效地控制流动分离,此时的损失降低幅度高达15.84%,从另外一个角度证实了激励位置对于非定常激励的重要性。