Optimization of low-thrust transfers in the three body problem

We consider transfers with low thrust in an arbitrary field of forces. The modified method of transporting trajectory [1–4] is used for optimization of the transfers. The complexity of finding the transporting trajectory of a preset type can be the main obstacle to application of this method. This challenge is solved for the three-body problem in the Hill motion model. Numerical analysis of the method is performed using an example of the transfers to halo-orbits around the solar-terrestrial libration points.     

基于单目视觉系统的远距离场景重建算法研究

提出了一种基于机载前视被动传感器(电视传感器或红外成像传感器)获取的序列图像,并结合惯导信息,恢复前视场景深度的新方法。通过将前视三维场景看作一组具有不同深度的,分别对应背景和障碍物的层的集合,将复杂的场景重建问题简化为对各层深度集和像素标记场的计算;我们使用贝叶斯方法解决对各参数的估计,并使用图论方法快速求解。试验表明,该方法是可行的。     

含能材料及相关物的低温焓松弛研究：（I）由DSC获得粘弹系数

用差示扫描量热仪（ＤＳＣ）技术研究了某些含能材料及相关物的低温焓松弛过程及时温等效,通过玻璃化转变温度与升温速率的关系,导出了ＷＬＦ方程粘弹系数的计算式,并计算了１０个体系的粘弹系数,实验结果表明,用ＤＳＣ技术可以测定焓松弛和ＷＬＦ方程的系数。     

含能材料低温松弛WLF方程的两种求值法

通过玻璃化转变温度和表观活化能以及由ＶＦＴ方程导得ＷＬＦ方程粘弹系数的两种新计算方法。用该方法分别计算１０个体系的粘弹系数,结果表明,用ＤＳＣ技术可以获得ＷＬＦ方程,３种计算方法获得的粘弹系数符合较好。     

航天器回收着陆仿真软件系统(ARLSSS)简介

文章主要介绍了回收系统工作过程仿真软件系统。通过运用基元模型和分层建模的思想以及面向对象的程序设计方法 ,ARLSSS(AerocraftRecoveryandLandingSimulationSoftwareSystem)构建了一个开放的回收系统仿真平台。在此基础上 ,分别构建了神舟 (SZ)飞船和某型号卫星回收过程两套仿真系统 ,较好地实现了用户界面前后处理关系和逼真的可视化模块。ARLSSS已经在几个回收系统的仿真中得到了成功地应用。     

飞机进气道/ 发动机台架联合试验及匹配特性研究

为了确定发动机地面装机条件下的进气畸变大小,对1种全尺寸进气道与发动机地面台架开展进发联合试验研究。试验速度条件为飞机静止状态,对应飞机迎角为0°,马赫数为0。参试进气道为2元外压式超声速进气道,参试发动机为大推力双转子带加力涡轮风扇发动机。采用地面台架联合试车的方法,获得了不同进气道条件下的进发匹配特性数据,包括在发动机不同工作转速下进气道出口流场的稳态总压特性、动态畸变特性等参数,并与进气道缩比模型风洞试验结果进行了对比分析。结果表明:全尺寸进气道的出口畸变随发动机空气流量增加而增大,与风洞试验结果一致,但防护网对于畸变的影响效果相反。     

The Ultraviolet Spectrograph on NASA’s Juno Mission

The ultraviolet spectrograph instrument on the Juno mission (Juno-UVS) is a long-slit imaging spectrograph designed to observe and characterize Jupiter’s far-ultraviolet (FUV) auroral emissions. These observations will be coordinated and correlated with those from Juno’s other remote sensing instruments and used to place in situ measurements made by Juno’s particles and fields instruments into a global context, relating the local data with events occurring in more distant regions of Jupiter’s magnetosphere. Juno-UVS is based on a series of imaging FUV spectrographs currently in flight—the two Alice instruments on the Rosetta and New Horizons missions, and the Lyman Alpha Mapping Project on the Lunar Reconnaissance Orbiter mission. However, Juno-UVS has several important modifications, including (1) a scan mirror (for targeting specific auroral features), (2) extensive shielding (for mitigation of electronics and data quality degradation by energetic particles), and (3) a cross delay line microchannel plate detector (for both faster photon counting and improved spatial resolution). This paper describes the science objectives, design, and initial performance of the Juno-UVS.     

The InSight Mars Lander and Its Effect on the Subsurface Thermal Environment

The 2018 InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) Mission has the mission goal of providing insitu data for the first measurement of the geothermal heat flow of Mars. The Heat Flow and Physical Properties Package (HP³) will take thermal conductivity and thermal gradient measurements to approximately 5 m depth. By necessity, this measurement will be made within a few meters of the lander. This means that thermal perturbations from the lander will modify local surface and subsurface temperature measurements. For HP³’s sensitive thermal gradient measurements, this spacecraft influence will be important to model and parameterize. Here we present a basic 3D model of thermal effects of the lander on its surroundings. Though lander perturbations significantly alter subsurface temperatures, a successful thermal gradient measurement will be possible in all thermal conditions by proper (\(>3~\mbox{m}\) depth) placement of the heat flow probe.     

The Juno Radiation Monitoring (RM) Investigation

The Radiation Monitoring Investigation of the Juno Mission will actively retrieve and analyze the noise signatures from penetrating radiation in the images of Juno’s star cameras and science instruments at Jupiter. The investigation’s objective is to profile Jupiter’s \(>10\mbox{-MeV}\) electron environment in regions of the Jovian magnetosphere which today are still largely unexplored. This paper discusses the primary instruments on Juno which contribute to the investigation’s data suite, the measurements of camera noise from penetrating particles, spectral sensitivities and measurement ranges of the instruments, calibrations performed prior to Juno’s first science orbit, and how the measurements may be used to infer the external relativistic electron environment.