Piloted operations at a near-Earth object (NEO)

In late 2006, NASA's Constellation Program sponsored a study to examine the feasibility of sending a piloted Orion spacecraft to a near-Earth object. NEOs are asteroids or comets that have perihelion distances less than or equal to 1.3 astronomical units, and can have orbits that cross that of the Earth. Therefore, the most suitable targets for the Orion Crew Exploration Vehicle (CEV) are those NEOs in heliocentric orbits similar to Earth's (i.e. low inclination and low eccentricity). One of the significant advantages of this type of mission is that it strengthens and validates the foundational infrastructure of the United States Space Exploration Policy and is highly complementary to NASA's planned lunar sortie and outpost missions circa 2020. A human expedition to a NEO would not only underline the broad utility of the Orion CEV and Ares launch systems, but would also be the first human expedition to an interplanetary body beyond the Earth–Moon system. These deep space operations will present unique challenges not present in lunar missions for the onboard crew, spacecraft systems, and mission control team. Executing several piloted NEO missions will enable NASA to gain crucial deep space operational experience, which will be necessary prerequisites for the eventual human missions to Mars.Our NEO team will present and discuss the following:

• new mission trajectories and concepts;

• operational command and control considerations;

• expected science, operational, resource utilization, and impact mitigation returns; and

• continued exploration momentum and future Mars exploration benefits.

BANK编译模式在扩大单片机程序存储空间中的应用

利用C51编译器的BANK编译模式解决MCS-51系列单片机程序存储空间受64KB限制的问题,分析Keil C51编译器在BANK编译模式下的切换过程,提供一种软硬件的设计方法,并对设计的正确性进行了验证,从而解决了航天器设备典型单片机只能提供16B地址线对程序代码寻址的问题.     

深空探测自主导航与控制技术综述

深空探测自主导航与控制技术是深空探测任务成功实施的关键。基于开展深空探测自主导航与控制技术研究的迫切性,综合分析和评述深空探测自主导航与控制技术的研究进展,着重分析深空探测自主导航与控制的必要性和国外深空探测自主导航与控制技术的研究发展趋势,提出深空探测自主导航与控制的关键技术,根据分析,提出了发展深空探测自主导航与控制技术的建议．     

基于相空间重构和神经网络的压气机机匣静压预测

建立了基于相空间重构和径向基神经网络的压气机机匣静压的预测模型。对试验数据进行相空间重构,分析其混沌特性,根据重构相空间的最小嵌入维数确定网络输入参数的个数,采用K均值聚类的方法优化网络的拓扑结构,根据时间序列的最大李亚普诺夫指数确定预测模型的最大有效预测步数,利用径向基神经网络的强大非线性映射能力,实现对时间序列的非线性预测,试验结果证明了该方法的有效性。该方法对压气机趋势监控具有一定的参考价值。      

有源相控阵中场测量中的空间误差研究

由于中场监测设备量少,且测量效率高,所以是有源相控阵雷达阵面测量的重要方法之一,在工程中得到了广泛应用。其系统误差包括监测方法误差和测量设备误差,其中测量方法误差非常关键,而测量设备误差与所采用的具体设备有关。在中场测量中,探头的位置偏移导致的空间误差是其特有的测量方法误差。本文对空间误差进行了理论分析,并以x波段有源相控阵的中场测量为例,给出了空间误差的计算结果和实验结果。计算结果表明,空间幅度误差很小;空间相位误差与被测阵面口径、测量距离和探头位置偏移有关。实验结果进一步验证了这种计算结果。分析结果为中场测量的实施提供了参考,具有一定的工程意义。     

国外深空探测态势特点与启示（上）

通过对国外主要航天大国在深空探测领域发展过程的梳理,重点分析了各国在无人深空探测技术、载人深空探测技术和地面测控通信技术三个方面的技术发展特点,并从总体角度对其主要技术特征和关键技术进行了深入剖析,从中提炼出对我国深空探测活动的启示,以期对我国深空探测的开展有所借鉴和推动。     

国外深空探测态势特点与启示（下）

通过对国外主要航天大国在深空探测领域发展过程的梳理,重点分析了各国在无人深空探测技术、载人深空探测技术和地面测控通信技术三个方面的技术发展特点,并从总体角度对其主要技术特征和关键技术进行了深入剖析,从中提炼出对我国深空探测活动的启示,以期对我国深空探测的开展有所借鉴和推动。     

空天飞机全C／SiC复合材料机身襟翼的静力试验研究与失效分析

针对全C／SiC复合材料机身襟翼再人过程中受到强烈的气动载荷作用的受力状况,进行了静力试验考核。对静力试验方法进行了讨论与探索,通过验证性的试验,确定了传统的贴帆布带加载的静力试验方案。并通过有限元建模计算明晰了机身襟翼结构的静力试验的危险区域。静力试验中,襟翼试件在未达到试验设计载荷的情况下,出现了提前破坏。通过对试件的传力路线的分析以及损伤部位的观察和研究,找出了失效的原因是由于角盒工艺上的缺陷造成的,并提出了工艺上改进的方法。     

Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting

The support vector machine (SVM) combined with K-nearest neighbors (KNN), called the SVM-KNN method, is new classing algorithm that take the advantages of the SVM and KNN. This method is applied to the forecasting models for solar flares and proton events. For the solar flare forecasting model, the sunspot area, the sunspot magnetic class, and the McIntosh class of sunspot group and 10 cm solar radio flux are chosen as inputs; for the solar proton event forecasting model, the inputs include the longitude of active regions, the flux of soft X-ray, and those for the solar flare forecasting model. Detailed tests are implemented for both of the proposed forecasting models, in which the SVM-KNN and the SVM methods are compared. The testing results demonstrate that the SVM-KNN method provide a higher forecasting accuracy in contrast to the SVM. It also gives an increased rate of ‘Low’ prediction at the same time. The ‘Low’ prediction means occurrence of solar flares or proton events with predictions of non-occurrence. This method show promise for forecasting models of solar flare and proton events.     

载体姿态无扰的自由漂浮空间机器人运动学特性研究

针对载体姿态无扰的自由漂浮空间机器人的运动学问题,引入具有非完整特性的载体 姿态无扰约束方程,推导了载体姿态无扰的自由漂浮空间机器人广义雅可比矩阵。采用等效 杆的概念,分析了普通状态的自由漂浮空间机器人和载体姿态无扰的自由漂浮空间机器人可 达工作空间;基于载体姿态无扰的自由漂浮空间机器人广义雅可比矩阵所得到的奇异方程, 研究了载体姿态无扰的自由漂浮空间机器人动力学奇异性。仿真结果验证了普通状态的自由 漂浮空间机器人与载体姿态无扰的自由漂浮空间机器人运动学问题的差异性。研究结果为载 体姿态无扰的自由漂浮空间机器人运动规划及控制研究奠定了理论基础。