密封舱内漂浮小球运动规律的数值模拟研究

"天宫二号"空间实验室开展了首次人机协同在轨维修技术试验,机械臂操作终端抓取漂浮小球试验为在轨试验任务之一。为研究漂浮小球与机械臂操作终端运动特性之间的匹配性,文章建立了在轨微重力环境下小球运动的物理模型与数学模型,采用动网格方法对不同小球的运动特性进行数值模拟,得到小球的运动规律,由此确定小球的设计参数范围,作为机械臂操作终端系统方案设计的依据。最终,数值模拟结果与"天宫二号"空间实验室在轨试验数据的对比初步验证了该计算结果的正确性。     

Predictive fault-tolerant control of an all-thruster satellite in 6-DOF motion via neural network model updating

The problem of controlling an all-thruster spacecraft in the coupled translational-rotational motion in presence of actuators fault and/or failure is investigated in this paper. The nonlinear model predictive control approach is used because of its ability to predict the future behavior of the system. The fault/failure of the thrusters changes the mapping between the commanded forces to the thrusters and actual force/torque generated by the thruster system. Thus, the basic six degree-of-freedom kinetic equations are separated from this mapping and a set of neural networks are trained off-line to learn the kinetic equations. Then, two neural networks are attached to these trained networks in order to learn the thruster commands to force/torque mappings on-line. Different off-nominal conditions are modeled so that neural networks can detect any failure and fault, including scale factor and misalignment of thrusters. A simple model of the spacecraft relative motion is used in MPC to decrease the computational burden. However, a precise model by the means of orbit propagation including different types of perturbation is utilized to evaluate the usefulness of the proposed approach in actual conditions. The numerical simulation shows that this method can successfully control the all-thruster spacecraft with ON-OFF thrusters in different combinations of thruster fault and/or failure.     

基于深度学习的空间站舱内服务机器人视觉跟踪

为提升舱内跟随服务机器人的任务辅助能力,解决机器人对航天员的视觉跟踪问题,提出了一种基于深度学习和概率模型的人体视觉跟踪算法。利用深度卷积神经网络实现了对穿着多样、姿态任意人体的稳定检测。结合人体检测结果,设计了运动预测概率模型,实现了对指定人员准确、连续的跟踪。算法对包含大多数航天员活动的多个数据集进行了验证。实验结果表明:提出的跟踪算法实现了对穿着多样、姿态任意人体的稳定跟踪,并有效避免了由于穿着相似、遮挡可能造成的误跟踪问题。该算法为空间站舱内跟随服务机器人对航天员的视觉跟踪提供了有效的解决方法。算法基于融合的RGB-D图像,工程上易于构建和实现,也可拓展到其他跟随服务机器人视觉跟踪任务中。     

Case study of inclined sporadic E layers in the Earth’s ionosphere observed by CHAMP/GPS radio occultations: Coupling between the tilted plasma layers and internal waves

We have used the radio occultation (RO) satellite data CHAMP/GPS (Challenging Minisatellite Payload/Global Positioning System) for studying the ionosphere of the Earth. A method for deriving the parameters of ionospheric structures is based upon an analysis of the RO signal variations in the phase path and intensity. This method allows one to estimate the spatial displacement of a plasma layer with respect to the ray perigee, and to determine the layer inclination and height correction values. In this paper, we focus on the case study of inclined sporadic E (E_s) layers in the high-latitude ionosphere based on available CHAMP RO data. Assuming that the internal gravity waves (IGWs) with the phase-fronts parallel to the ionization layer surfaces are responsible for the tilt angles of sporadic plasma layers, we have developed a new technique for determining the parameters of IGWs linked with the inclined E_s structures. A small-scale internal wave may be modulating initially horizontal E_s layer in height and causing a direction of the plasma density gradient to be rotated and aligned with that of the wave propagation vector k. The results of determination of the intrinsic wave frequency and period, vertical and horizontal wavelengths, intrinsic vertical and horizontal phase speeds, and other characteristics of IGWs under study are presented and discussed.     

超大口径环形天线包带展开过程动力学仿真

中间柔性包带是环形可展开天线的重要组成部分。中间包带拔销器解锁后，复材包带与环形桁架同步展开。因复材包带柔性较强，它会绕根部固定端进行回弹，因此展开过程存在金属接头和桁架上复材薄壁管件碰撞风险。随着天线口径增大，该风险会持续增大。基于柔性多体动力学理论对超大型口径环形可展开天线包带展开过程进行动力学建模仿真，并在此基础上分析得出包带展开过程金属接头到环形桁架最小距离主要和复材包带阻尼率以及桁架预展速度相关。通过进一步研究发现：复材包带阻尼率越高，展开过程金属接头到环形桁架最小距离越大；桁架预展速度越快，展开过程金属接头到环形桁架最小距离越小。此外，对逆止回弹机构失效这一在轨极端条件下包带展开过程进行建模仿真，分析得出包带在该条件下展开过程金属接头到环形桁架最小距离变化规律。该研究可为超大口径环形天线结构优化设计及包带在轨展开预示提供依据。     

100 kWe级空间快堆核电源系统仿真平台开发与应用

空间核反应堆电源作为一种具有竞争力的空间电源方案,正逐渐受到关注及应用。本文针对一个100 kWe级锂冷快堆耦合布雷顿循环的空间堆核动力系统方案,修改了RELAP5程序中的物性程序、换热模型,程序中的中子动力学模块使用蒙特卡洛方法计算快堆物理参数与堆芯控制调节参数,由此集成并建立一个空间快堆核动力系统综合仿真平台,应用该平台对100 kWe级空间堆核动力系统进行了稳态模拟与事故分析。结果表明:在瞬态发生后系统各参数变化符合预期,验证了各部件及控制系统的功能性及有效性;同时,还初步进行了仿真平台用于100 kWe级空间反应堆核动力系统设备的设计优化的实践,为空间快堆设计与安全分析提供了技术储备。     

多航天器协同探测效能影响参数不确定性分析

为解决传统基于蒙特卡洛仿真的探测效能不确定性分析评价方法中时间效率低，参数关系映射单一的问题，提出一种基于神经网络的不确定性分析方法，利用人工神经网络在拟合回归分析上的非线性特性，设计了能够替代复杂系统的神经网络结构，能够通过少量仿真计算结果作为训练样本实现模型的收敛并能有效反映被替代系统的原有特性。选择以一个多航天器的天文观测任务作为典型用例，建立了仿真分析模型，并与蒙特卡洛仿真方法结果进行了对比，验证了此方法的准确性和计算效率。     

大跨时空任务背景下的太阳能无人机任务规划技术研究进展

通过任务规划技术合理的优化太阳能无人机的飞行轨迹和动力学参数，能够有效提高太阳能无人机的能量利用率，使其胜任许多大范围跨时间跨空间飞行任务。从能量建模、续航评估和能量管理策略3个方面对大跨时空任务背景下太阳能无人机任务规划技术的研究进展进行了综述。在能量建模方面，介绍了当前主流的太阳辐射模型和能量生产基本框架；在续航评估方面，分析了目前的指标设计和应用方法；在能量管理策略方面，从能量综合应用、风力滑翔机制、轨迹优化方法和面向特定任务的应用4个角度，梳理了当前的研究现状。最后，对该领域未来可能的研究方向进行了展望。     

Injection of 40-kHz-modulated electron beam from the satellite: II. Excitation of electrostatic and whistler waves

Beam-plasma interaction effects are studied during the active space experiment with electron and Xe-ion beam injections in an ionospheric plasma. Permanent 40-kHz-modulated electron beam injection occurs simultaneously with a xenon-ion beam injected by the Hall-type plasma thruster operating in a square-pulse mode (100/50 s for a job/pause duration). The unusual behavior of the background charged particle fluxes and wave activity stimulated during the beam-plasma interaction have been registered by the scientific instruments onboard Intercosmos-25 station (IK-25) and Magion-3 subsatellite. The longitudinal and electromagnetic wave instabilities and their mutual relationship are considered in order to explain the observed effects. The excitation of electrostatic waves by the electron injection has been considered for different resonance conditions near the linear stability boundary. Beam-driven electromagnetic instability is responsible for the backward-propagating whistler waves excited via cyclotron resonance. Competition of these two beam instabilities is one of the subjects of the present study.     

基于改进YOLO V5的无人机航拍图像小目标检测方法

本文针对无人机航拍目标检测技术中目标聚集、目标较小及实时性差等问题,将YOLO V5的主干架构进行改进,简化Neck网络,提出了一种提高检测速度又能准确识别的无人机航拍图像检测技术方案。经过仿真实验测试,改进后的YOLO V5网络在保持识别精度的同时,检测速率提升了31%,满足无人机在航拍作业时对于准确性与实时性的要求。