Solar variability and minor constituents in the lower thermosphere and in the mesosphere

Space Science Reviews - The variation in the solar irradiance related for example to the 11-year cycle leads to changes in the photodissociation and photo-ionization of the upper and middle...     

Helium, Oxygen, Proton, and Electron (HOPE) Mass Spectrometer for the Radiation Belt Storm Probes Mission

The HOPE mass spectrometer of the Radiation Belt Storm Probes (RBSP) mission (renamed the Van Allen Probes) is designed to measure the in situ plasma ion and electron fluxes over 4π sr at each RBSP spacecraft within the terrestrial radiation belts. The scientific goal is to understand the underlying physical processes that govern the radiation belt structure and dynamics. Spectral measurements for both ions and electrons are acquired over 1 eV to 50 keV in 36 log-spaced steps at an energy resolution ΔE _FWHM/E≈15 %. The dominant ion species (H⁺, He⁺, and O⁺) of the magnetosphere are identified using foil-based time-of-flight (TOF) mass spectrometry with channel electron multiplier (CEM) detectors. Angular measurements are derived using five polar pixels coplanar with the spacecraft spin axis, and up to 16 azimuthal bins are acquired for each polar pixel over time as the spacecraft spins. Ion and electron measurements are acquired on alternate spacecraft spins. HOPE incorporates several new methods to minimize and monitor the background induced by penetrating particles in the harsh environment of the radiation belts. The absolute efficiencies of detection are continuously monitored, enabling precise, quantitative measurements of electron and ion fluxes and ion species abundances throughout the mission. We describe the engineering approaches for plasma measurements in the radiation belts and present summaries of HOPE measurement strategy and performance.     

低冲击弹射式发射箱前盖分离特性

针对火箭、导弹储运发射箱前盖快速开启、可靠分离的设计需求,提出一种利用弹簧储能的低冲击弹射式发射箱前盖方案。在此基础上,结合设计方案各部件在分离过程中的受力特性,建立前盖分离和抛落的理论模型,对箱盖分离轨迹进行计算分析。为优化设计参数,利用实验设计方法(DOE)和响应面法(RSM)对影响前盖抛落距离的储能弹簧刚度、有效作用距离以及活动冲击部件的斜板倾角等进行优化分析,获得满足可靠分离判据的优化结果。最后利用基于多体动力学模型的虚拟样机试验对优化模型进行了校验分析,验证了设计方案的可行性和理论模型的合理性。     

月壤剖面锥型螺旋刃成孔钻头设计

针对月壤剖面钻进成孔探测需求,提出一种锥型螺旋刃成孔钻头,建立其钻进排屑性能的理论模型,并以此开展钻头结构参数的优化设计。在此基础上,分析螺旋刃切削姿态及其切削参数,基于直线刃平面切削理论建立锥型螺旋刃成孔钻头钻进切削负载预估模型,开展锥型螺旋刃成孔钻头模拟月壤剖面钻进负载特性试验验证。研究结果表明,相比于直线刃钻头,锥型螺旋刃成孔钻头的钻进排屑性能更优,而且钻进切削负载模型与试验结果具有较好的吻合度。研究成果对我国拟实施的月面钻取采样工程具有重要的借鉴价值。     

空间机器人一体化仿真系统的研究与实现

为对空间机器人关键算法进行验证和评估,开发了一套一体化仿真系统。该系统基于模块化设计思想,由遥测遥控接口、轨迹规划与控制、系统动力学模型、系统3D几何模型、相机成像模型、图像处理与位姿测量、碰撞检测与安全预警等模块组成。其中,3D实体模型及仿真场景由OSG(Open Scene Graph)建立,各关键模块的算法采用C语言编程实现,可对空间机器人执行在轨任务的关键算法进行闭环验证。最后对两种典型工况进行了仿真实验,结果表明了该系统的有效性。     

Electric Fields and Magnetic Fields in the Plasmasphere: A Perspective From CLUSTER and IMAGE

The electric field and magnetic field are basic quantities in the plasmasphere measured since the 1960s. In this review, we first recall conventional wisdom and remaining problems from ground-based whistler measurements. Then we show scientific results from Cluster and Image, which are specifically made possible by newly introduced features on these spacecraft, as follows. 1. In situ electric field measurements using artificial electron beams are successfully used to identify electric fields originating from various sources. 2. Global electric fields are derived from sequences of plasmaspheric images, revealing how the inner magnetospheric electric field responds to the southward interplanetary magnetic fields and storms/substorms. 3. Understanding of sub-auroral polarization stream (SAPS) or sub-auroral ion drifts (SAID) are advanced through analysis of a combination of magnetospheric and ionospheric measurements from Cluster, Image, and DMSP. 4. Data from multiple spacecraft have been used to estimate magnetic gradients for the first time.     

模拟月壤钻进负载分析与试验研究

月壤与采样机具间的相互作用在月球自主采样器的设计、性能评价、控制和仿真等方面具有重要作用,目前对于月壤与采样机具间相互作用中的钻进负载研究尚不充分。本文基于被动土压力理论,根据不同的土体切削状态,将切削刃前土体分为堆积区和破坏区,重点分析堆积区土体和破坏区土体对总钻头负载的贡献,建立了月壤取心钻头钻进松散土体的钻进负载模型。HIT 2型取心钻头和HIT\|LS1#模拟月壤的钻进试验结果表明,钻进负载理论模型与实际情况具有较高的吻合度。     

一种粒子群模糊支持向量机的航天器参量预测方法

针对航天器精确预测与健康管理的需求,将粒子群算法、模糊数学与支持向量机的优势相结合,提出了一种粒子群模糊支持向量机预测方法。针对某卫星南帆板输出电流参量的预测实例,设计了总平均绝对误差、总平均绝对百分比误差、总均方根误差三个预测结果评价指标,对不同步长情况下的预测结果进行了比较,证明了粒子群优化模糊支持向量机预测方法的有效性。通过对比粒子群优化模糊支持向量机模型、灰色粒子群神经网络优化模型、粒子群神经网络模型、灰色模型预测的总平均绝对百分比误差,结果证明粒子群优化模糊支持向量机的预测精度和效率较高,在航天器参量预测领域具有较好的应用前景。     

一种方位时变GEO SAR成像处理新算法

针对地球同步轨道合成孔径雷达(GEO SAR)回波模型的距离空变和方位时变问题,提出一种基于改进距离-多普勒(RD)和方位向调频尺度变换(CS)的成像算法。首先引入四阶泰勒展开模型解决成像中存在的弯曲轨迹问题,然后对传统RD算法进行改进,补偿距离空变,最后对方位时变进行建模,通过方位向CS补偿方位时变,使GEO SAR能够进行更大场景的成像。结合天基雷达先进仿真系统(SBRAS)进行仿真,验证了该算法的有效性。