低温推进剂空间管理技术研究进展与展望

本文介绍了低温推进剂的性能优势与空间管理挑战，梳理了低温流体空间管理(CFM)技术特征及其研究现状，建议按照重力依赖型与重力无关型分类开展技术成熟度提升研究。调研了美国逾半个世纪的CFM技术搭载实验研究历程，分析了各类平台的工作特性与性能优势。基于我国航天发展现状与未来需求，探析了我国开展CFM技术攻关、飞行搭载实验的可行方案。建议在我国载人空间站规划舱内低温技术实验柜与舱外暴露平台实验模块，加速我国CFM技术向工程应用的转化。     

连续式风洞二喉道调节马赫数控制策略

为了降低连续式跨超声速风洞压力波动,提高马赫数稳定性,需要对二喉道调节马赫数控制方式进行研究,针对现有文献鲜少对该控制策略描述等问题,以0.6m连续式跨声速风洞为例,对二喉道控制马赫数的原理进行分析,基于运动控制器加伺服驱动器双PID(proportion-integral-derivative)控制模式实现二喉道位置精确控制,提出了二喉道和压缩机转速的组合控制流程,并采用分段变参数模糊PID加串级控制的算法实现马赫数精确控制,最后进行了试验验证。结果表明马赫数控制精度优于0.001,且每个马赫数极曲线(9个攻角阶梯)的时间可控制在4min以内,证明所提出的控制策略是有效的,可为连续式跨超声速风洞的设计调试提供参考。      

Effects of wing flexibility on aerodynamic performance of an aircraft model

The low-speed wind tunnel experiment is carried out on a simplified aircraft model to explore the influence of wing flexibility on the aircraft aerodynamic performance. The investigation involves the measurements of force, membrane deformation and velocity field at Reynolds number of 5.4 × 10⁴–1.1 × 10⁵. In the lift curves, two peaks are observed. The first peak, corresponding to the stall, is sensitive to the wing flexibility much more than the second peak, which nearly keeps constant. For the optimal case, in comparison with the rigid wing model, the delayed stall of nearly 5° is achieved, and the relative lift increment is about 90%. It is revealed that the lift enhanced region corresponds to the larger deformation and stronger vibration, which leads to stronger flow mixing near the flexible wing surface. Thereby, the leading-edge separation is suppressed, and the aerodynamic performance is improved significantly. Furthermore, the effects of sweep angle and Reynolds number on the aerodynamic characteristics of flexible wing are also presented.     

惯性参数对飞翼体自由度颤振特性的影响规律研究

飞翼飞行器刚体短周期模态频率较高,易与一阶弹性弯曲模态耦合发生一种特殊的颤振——体自由度颤振。采用风洞实验与频域计算相结合的手段,开展了惯性参数(俯仰转动惯量、质心位置)对飞翼飞行器体自由度颤振特性(颤振速度和颤振频率)的影响规律研究。实验和计算结果表明:俯仰惯量和质心位置会明显改变体自由度颤振频率与速度,颤振实验与计算结果一致性较好。俯仰惯量增加,颤振频率降低,沉浮约束时颤振速度基本不变,沉浮自由时颤振速度增大;质心位置前移,俯仰模态频率与阻尼同时增加,俯仰与一阶弹性弯曲模态耦合更容易,但发散模态分支的阻尼也更大,导致颤振速度先降低后增大,颤振频率单调增加。     

基于梯度提升决策树的量子科学实验卫星光学实验预测

量子科学实验卫星在轨运行期间完成4种光学实验，地面监测人员通过遥测参数阈值判断卫星是否进行光学实验、实验类型及实验结果.这种方法需要预先设定大量阈值，并且这些阈值需要根据在轨卫星重新设定，可扩展性较差.针对以上问题，提出一种基于机器学习的光学实验判别方法，将量子科学实验卫星的光学实验监测任务抽象为机器学习中的多元分类问题，构建分类模型，利用量子科学实验卫星的真实历史遥测数据对模型进行训练，并通过真实实验计划对训练得到的模型进行验证.实验结果表明，本文提出的方法在没有专家先验知识的前提下，判别准确率达到99%，可用于量子科学实验卫星光学实验的实时监测任务.提出的基于机器学习的判别方法具有较强的可扩展性，可应用于卫星在轨运行的其他监测任务.      

前缘缝翼构型平尾直升机气动特性分析

使用数值模拟方法研究了前缘缝翼翼型气动特性,并将该前缘缝翼翼型应用于直升机平尾,分析了该直升机全机气动特性,最后通过风洞试验对数值模拟结果进行验证。结果表明,前缘缝翼构型平尾能有效改善直升机的纵向静稳定性。     

基于变马赫数的五孔探针三维插值方法

探讨了五孔探针气动数据的插值方法,为提高插值精度,开发了基于传统线性插值法的三维线性插值法。该方法把同一探针在不同马赫数下的校准图形成三维数据库,将实验数据通过三维图进行插值。并使用改进前后的两种插值方法分别对校准风洞测得的数据进行整理,对比结果证明:在实验工况连续变化的情况下,三维线性插值法在插值精度上要优于传统线性插值法。特别是在来流马赫数变化较大时,该方法可以改善单一校准文件处理造成的数据精度问题,可用于自动化流场采集系统,为流场高速高精度采集奠定基础。     

Neural adaptive control for a ground experiment of the space proximity operation in a six-degree-of-freedom micro-gravity simulation system

In this study, a neural adaptive controller is developed for a ground experiment with a spacecraft proximity operation. As the water resistance in the experiment is highly nonlinear and can significantly affect the fidelity of the ground experiment, the water resistance must be estimated accurately and compensated using an active force online. For this problem, a novel control algorithm combined with Chebyshev Neural Networks (CNN) and an Active Disturbance Rejection Control (ADRC) is proposed. Specifically, the CNN algorithm is used to estimate the water resistance. The advantage of the CNN estimation is that the coefficients of the approximation can be adaptively changed to minimize the estimation error. Combined with the ADRC algorithm, the total disturbance is compensated in the experiment to improve the fidelity. The dynamic model of the spacecraft proximity maneuver in the experiment is established. The ground experiment of the proximity maneuver that considers an obstacle is provided to verify the efficiency of the proposed controller. The results demonstrate that the proposed method outperforms the pure ADRC method and can achieve close-to-real-time performance for the spacecraft proximity maneuver.     

Statistical characteristics of low latitude Pc4s: Influence of solar wind and IMF parameters

Pc4 signatures for the year 2013, extracted from geomagnetic north–south and east–west components of induction coil magnetometer (LEMI 30) from low latitude station Desalpar (DSP), operated by Institute of Seismological Research (ISR), India have been investigated vis-à-vis the prevalent interplanetary parameters (IMF) as well as the geomagnetic activity indices. A clear dominance of Pc4-5 (467 events) over Pc3 (17 events) is observed. Local time variation of Pc4 shows a peak in the noon sector in both X and Y components. Our investigations show that the dominant peak frequency is 10 mHz at low latitude region. Correlations with solar wind and IMF parameters illustrate highest occurrence of Pc4 for a solar wind speed of 300–400 km/s and average IMF B field of 3–6 nT. The amplitude of Pc4s at DSP shows an increase with increasing solar wind speed, plasma density, solar wind dynamic pressure and average B field which is also reflected in the trend of frequency variation of these pulsations. We report that IMF clock angle at low latitude does not have influence on Pc4 occurrence. Based on the characteristics of these events, detected in latitudinally distributed stations from low and mid-latitudes from northern and southern hemisphere, we infer that modes were compressional, which could be driven by K-H instability or solar wind dynamic pressure, as compressional modes can propagate to low latitude with little attenuation.     

Plasma polarization electric field derived from radio sounding of solar wind acceleration region with spacecraft signals

Presented is the analytical approximation of averaged solar wind velocity radial dependence in the solar wind acceleration region at heliolatitudes below 60° under low and moderate solar activity. This empirical approximation is based on the data of radio sounding of the solar corona with radio signals from various spacecraft. Deduced is an equation connecting the solar wind velocity radial dependence and the radial dependence of solar wind plasma polarization electric field intensity. This allows constructing a semi-empirical radial dependence of plasma polarization electric field corresponding to the empirical radial dependence of solar wind velocity. Main properties of the semi-empirical dependence, which is based on radio sounding data, are described.