三维热化学非平衡流动非结构网格DSMC方法及其应用

研究了过渡流域三维热化学非平衡流动DSMC方法实现的过程.以四面体非结构网格为基本单元,提出一种新型的高效搜索算法,该算法不仅可以快速跟踪模拟分子在网格之间的迁移,而且可以准确判别分子与物面是否相互作用,避免了原有算法中分子表面反射的非确定论判据.设计了适合三维DSMC方法的动态局部时间步长技术,节约了计算时间.将碰撞距离的思想引入到非结构网格上来,有效地消除了网格尺度小于三分之一平均自由程的限制.利用Foaran90的动态分配内存技术编制了适用于任意外形的通用计算程序.最后对全尺寸航天飞机高超声速绕流进行了数值试验,计算结果验证了该算法的可行性及高效性.     

受激光控制分解式固体微推力器内流动特性研究

建立了描述激光控制分解式固体微推力器内流动特性的计算模型,对激光微推力器内流动进行了数值计算,计算值与实验结果吻合较好。分析了气体粘性和压强对激光微推力器内流动特性的影响。结果表明,微推力器内流动受低压、小尺寸的综合影响,喷管喉径小于0.8 mm时,气体粘性对推力器性能影响显著增强;提高推力器内压强是减小粘性影响的一种有效手段。     

航天器姿态调整时的变结构控制与振动抑制方法

基于Hamilton变分原理,采用Timoshenko梁理论,对带有柔性附件的航天器建立了中心刚体—柔性梁的动力学模型。研究了调姿时带有柔性附件的航天器的动力学与控制问题,给出了问题的滑模变结构控制方法。基于Lyapunov方法证明了姿态的渐近稳定性。利用数值仿真过程讨论了卫星姿态角和姿态角速度的变化规律。最后,利用仿真结果验证了变结构控制方法的可行性和有效性。     

基于特征点的地形数据存储模型

低空突防在现代战争中发挥着越来越重要的作用，而机载数字地图是现代自主式低空突防系统的一个关键子系统。突防区域内的三维地形数据是数字地图最重要的信息源，故数字地图子系统的成功构筑有赖于在机载环境下有效地存储三维地形数据。本文提出了一种基于地形特征点的三维地形存储模型，其中给出了地形特征点的提取方法及地形特征点的存储编码方式。研究表明，该存储模型可大大减小地形数据的存储空间，并有利于提高三维地形的显示速度。     

基于Infineon CAN器件的总线通信速率侦测方法

本文论述了采用Infineon(sIEMENS)CAN器件侦测CAN总线通信Baudrate的两种方法。在未知现场运行CAN系统参数的情况下，采用所述方法可使未初始化的新的CAN节点接人CAN系统，而不影响现有CAN系统的运行。     

激波在狭缝中绕射过程研究

针对固体火箭发动机药柱存在裂纹的情况，对运动激波在狭缝中绕射传播的非定常流场进行了计算，得到了清晰的流场变化图谱，从流场图中可分辨出激波在狭缝中的传播过程。对不同深宽比的狭缝进行研究，发现流场结构存在明显差别，在深宽比较小时狭缝内压力波振荡较小，当深宽比超过一定值时狭缝内的压力波产生剧烈振荡。研究结果表明，该方法可很好地描述激波在狭缝中的传播过程。     

基于RBF网络的惯导系统初始对准

建立了惯导系统（ＩＮＳ）初始对准的线性和非线性误差模型。分析了径向基函数（ＲＢＦ）网络的结构和工作原理。研究了ＲＢＦ网代替初始对准中的卡尔曼滤波器的实现方法。通过仿真表明，用神经网络进行初始对准，既可获得与卡尔曼滤波相同的对准精度，又提高了系统的实时性。     

VentureStar… reaping the benefits of the X-33 program

Major X-33 flight hardware has been delivered, and assembly of the vehicle is well underway in anticipation of its flight test program commencing in the summer of 1999. Attention has now turned to the operational VentureStar^TM, the first single-stage-to-orbit (SSTO) reusable launch vehicle. Activities are grouped under two broad categories: (1) vehicle development and (2) market/business planning, each of which is discussed. The mission concept is presented for direct payload delivery to the International Space Station and to low Earth orbit, as well as payload delivery with an upper stage to Geosynchronous Transfer Orbit (GTO) and other high energy orbits. System requirements include flight segment and ground segment. Vehicle system sizing and design status is provided including the application of X-33 traceability and lessons learned. Technology applications to the VentureStar^TM are described including the structure, propellant tanks, thermal protection system, aerodynamics, subsystems, payload bay and propulsion. Developing a market driven low cost launch services system for the 21st Century requires traditional and non-traditional ways of being able to forecast the evolution of the potential market. The challenge is balancing both the technical and financial assumptions of the market. This involves the need to provide a capability to meet market segments that in some cases are very speculative, while at the same time providing the financial community with a credible revenue stream. Furthermore, the market derived requirements need to be assessed so as not to impose unnecessary requirements on the vehicle design that add unreasonable cost to the development of the system, yet provides the right capabilities for new markets that could be triggered by dramatically lower space transportation prices.     

微波衰减测量过程失控的原因分析及解决方案

针对高频串联替代法微波衰减测量标准装置测量过程所出现的失控现象 ,从测量标准仪器、被测仪器、测量方法、人为因素等方面分析了失控的原因 ,制定并实施了相应的解决方案 ,使测量过程恢复到统计受控状态     

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.