Increased urinary excretion rates of serotonin and metabolites during bedrest

Astronauts are often on a voluntarily reduced energy intake during space missions, possibly caused by a metabolic or emotional stress response with involvement of the central serotonergic system (SES). We investigated 24 h urinary excretion (24 h-E) of serotonin (5-HT) and 5-hydroxyindol acidic acid as indicators of the SES in healthy males under two different normocaloric conditions: normal physical activity (NPA) and -6 degree head-down-tilt (HDT). HDT or NPA were randomly arranged with a recovery period of 6 months in between. 24 h-E of hormones varied widely among individuals. Values were higher in HDT compared to NPA. Assuming that the 24 h-E values are, beside being indicators for alterations in the number and metabolism of platelets. Also indicators of central SES, HDT condition seems to activate central SES in a higher degree compared to NPA. Therefore, changes in central SES might be involved in the mechanisms associated with space flight or microgravity, including possible maladaptations such as voluntary undernutrition.     

液体火箭发动机技术的回顾与展望

回顾了５０年来液体火箭发动机技术的发展历程,展望了２１世纪液体火箭发动机技术的发展,即充分利用和改进现有火箭发动机,降低成本,提高可靠性,提高性能和适应性;研制和发展新型可重复使用的先进的火箭发动机,同时加强基础理论研究和关键技术的预研,以适应人类开发空间资源的需要。     

基于深度学习的组合体航天器模型预测控制

利用模型预测算法先预测控制结果后控制的类人行为特点,借助深度学习在多参数寻优上的优势,提出了一种基于卷积神经网络的模型预测控制算法,满足航天工程低硬件需求,实现组合航天器多场景下姿态控制律的重构。该算法首先利用模型预测控制将组合航天器从初始状态控制到预期状态,然后将控制过程中状态量用于3层3核卷积神经网络的训练,训练完成后,用该卷积神经网络代替模型预测对组合航天器进行控制,从而降低计算资源需求。仿真校验表明：该算法可预测5个控制周期内的控制参数,相比传统模型预测算法所需硬件计算时间降低约5倍,在一般硬件环境下30 s内即可完成各场景下的组合航天器姿态控制,控制精度在10 -4 量级。     

Noise in wireless systems from solar radio bursts

Solar radio bursts were first discovered as result of their interference in early defensive radar systems during the Second World War (1942). Such bursts can still affect radar systems, as well as new wireless technologies. We have investigated a forty-year record of solar radio burst data (1960–1999) as well as several individual radio events in the 23rd solar cycle. This paper reviews the results of a portion of this research. Statistically, for frequencies f  1 GHz (near current wireless bands), there can be a burst with amplitudes >10³ solar flux units (SFU; 1 SFU = 10⁻²² W/m²) every few days during solar maximum conditions, and such burst levels can produce problems in contemporary wireless systems.     

GEO编队空间机器人系统交会方法

针对地球静止轨道（GEO）上被服务航天器的远距离和非合作特点,提出一种高自主、高协同、多任务的编队空间机器人在轨服务系统方案,实现对非合作目标的自主交会接近。首先,分析GEO卫星轨道约束力小的轨道特征和非合作的信息交互特征,给出由操作空间机器人和监视空间机器人组成的编队在轨服务系统,设计交会接近相对测量分系统以及在轨服务飞行任务;接着,给出典型远距离交会接近的多视线相对导航方法与多冲量相对制导律;最后,进行远距离交会任务仿真校验,结果表明编队空间机器人交会接近方法是有效的。     

带滑移铰空间机械臂惯性空间轨迹的复合自适应跟踪控制

讨论了载体的位置与姿态均不受控制的漂浮基带滑移铰空间机械臂的控制问题.动力学分析表明,结合系统动量及动量矩守恒关系得到的运动Jacobi关系及系统动力学方程将是系统惯性参数的非线性函数.借助于增广变量法,我们得到了与惯性参数呈线性关系的系统广义Jacobi矩阵及系统控制方程.以此为基础,针对系统中存在未知惯性参数的情况,设计了一种末端抓手惯性空间期望轨迹跟踪的复合自适应控制方案,此控制方案的优点在于不需要测量空间机械臂载体的位置及移动的速度、加速度.仿真运算证实了方法的有效性.     

面向建筑空间的OFDM信号定位性能分析

针对利用OFDM信号进行定位时信号非连续性问题,提出一种粗检测和精细检测结合的测距方法,将距离测量转换为不同尺度的时延样点,采用时域粗检测快速估算接收OFDM信号的最大相关峰值,然后对传输时延进行频域精细测量,提升了小数倍采样周期时延测量的精度。在此基础上,分析了OFDM信号的定位性能,仿真结果表明,当OFDM信号在信噪比-11dB的情况下测距误差由3m左右(子载波数512)降至1m(子载波数4096)。     

海上多平台传感器管理与控制的设计与实现

以实现对海上多平台传感器资源进行自动或半自动的协调管理控制为目标,设计了传感器管理与控制系统的功能结构,对组成系统的传感器信息管理、传感器组织管理、收发通信管理、传感器控制管理和传感器综合效能分析等功能模块进行了描述,采用基于效能函数的多传感器管理算法实现了传感器的任务规划与资源分配,并采用"集中管理,分散控制"的方式进行海上多平台传感器的管理与控制。     

KuaFu Mission

The KuaFu mission-Space Storms, Aurora and Space Weather Explorer-is an "L1+Polar" triple satellite project composed of three spacecraft: KuaFu-A will be located at L1 and have instruments to observe solar EUV and FUV emissions, and white-light Coronal Mass Ejections (CMEs), and to measure radio waves, the local plasma and magnetic field,and high-energy particles. KuaFuB1 and KuaFu- B2 will bein polar orbits chosen to facilitate continuous 24 hours a day observation of the north polar Aurora Oval. The KuaFu mission is designed to observe the complete chain of disturbances from the solar atmosphere to geospace, including solar flares, CMEs, interplanetary clouds, shock waves, and their geo-effects, such as magnetospheric sub-storms and magnetic storms, and auroral activities. The mission may start at the next solar maximum (launch in about 2012), and with an initial mission lifetime of two to three years. KuaFu data will be used for the scientific study of space weather phenomena, and will be used for space weather monitoring and forecast purposes. The overall mission design, instrument complement, and incorporation of recent technologies will target new fundamental science, advance our understanding of the physical processes underlying space weather, and raise the standard of end-to-end monitoring of the Sun-Earth system.     

数据同化在空间天气学中的应用

由太阳活动引起的耀斑和日冕物质抛射等短时间尺度变化的空间天气事件会影响并危害地球磁层、电离层、中高层大气、卫星运行安全以及人类健康,因此对这些空间天气事件的预测显得尤为重要。数据同化在稀疏观测和异步采集的情况下能够增加模型的预测能力,对模型变量进行自洽分析。在数值预报中引入数据同化方法,能够提高预测可信度。本文从数据同化方法的角度出发,主要分析了数据同化目前在大气、电离层、磁层、太阳及其他行星科学研究中的应用,并初步讨论了数据同化未来在空间天气方面的应用。