液氧/煤油补燃发动机低频频率特性研究

基于模块化层次化的建模技术,建立液氧/煤油补燃发动机的线性小扰动频率特性仿真模型.在建模过程中,重点考虑了绝热流动假设和熵波影响下的气路模型.依据交流流体网络理论,运用传递函数法分析了该型发动机的低频频率特性,为研究液体火箭的纵向耦合振动(POGO)及发动机动力学提供帮助.      

有、无障碍物爆震管起爆过程的CE/SE模拟

用时空守恒元和解元(CE/SE)法模拟有无障碍物情况下爆震管二维爆震波的形成和传播过程,分析爆震波的不同机理,研究在较低能量下,点火区温度、爆震管管径以及障碍物对爆燃-爆震转捩过程(DDT)的影响.控制方程采取无量纲形式,用拓展的隐式梯形法实现刚性源项积分.研究表明,点火能量与点火压力相关,在较低的点火能量下,可以通过提高点火温度、减小爆震管径及加入障碍物加强爆震过程,减小爆燃-爆震转捩过程DDT时间和距离.为研究爆震波点火和DDT过程提供了理论依据.      

应用PIV技术测试模型环形燃烧室流场

采用粒子图像测速仪(PIV)测量带双级旋流器模型环形燃烧室内冷态和燃烧流场,试验研究不同进口气流温度对其冷态和燃烧流场内回流区的形成以及气流速度分布的影响,试验结果表明:燃烧室燃烧流场内回流区长度要比冷态流场短,燃烧流场的脉动速度明显大于冷态流场;另外随着进口气流温度增加,燃烧室冷态和燃烧流场的回流区长度都稍有减少.      

气流激励下叶片动力响应分析方法

利用在物理过程上的耦合代替数学方程上的耦合,完善了双向顺序耦合求解的理论,进一步给出了双向顺序耦合的数值求解方法,并描述了其在物理上对应的过渡过程.结合具体工程算例,分析得到某小型发动机二级静叶在气流激励下的流场分布形式和叶片动力响应的特点,指出了双向顺序耦合数值求解方法的优越性.      

航空发动机滑油综合监控中的磨损故障融合诊断研究

单一的滑油光谱监控手段容易漏报航空发动机磨损故障.根据滑油光谱监控和自动磨粒检测互补的特点,在某型航空发动机上实施滑油综合监控,应用Dempster-Shafer(D-S)证据理论实现发动机磨损故障的融合诊断,并开发出基于上述监控方法和信息融合诊断的滑油监控专家系统.通过对实际诊断案例进行分析,结果表明:提出的滑油综合监控和融合诊断方法可有效解决该型发动机轴承故障预报的难题.      

一种新的蚁群算法及其在飞行器设计中的应用

尝试将蚁群算法引入飞行器优化设计领域,为此建立了适用于高维、多目标、多约束优化问题的连续空间蚁群算法,并以高超声速飞行器气动布局的多目标优化设计为例进行了验证.优化设计结果与采用遗传算法得到的优化结果进行了对比,指出了蚁群算法的优点.该研究可为蚁群算法应用于复杂、高维的大规模飞行器设计问题提供参考.      

X射线脉冲星导航硬件脉冲轮廓累积研究

为了在X射线脉冲星地面实验系统仿真源模拟产生X射线的基础上,能够快速稳定地得到脉冲轮廓,采用硬件历元叠加的方法获得脉冲轮廓。研究了用硬件实现历元叠加及其数据整合的算法,该算法首先在MATLAB现场可编程逻辑阵列(FPGA)中实现,再通过MATLAB硬件描述语言(HDL)代码生成模块把算法转换成HDL,经编译后获得配置硬件的Bit文件,最终在开发板FPGA上实现数据处理的硬件模块。一段时间内的光子到达时间数据通过MATLAB算法得到的脉冲轮廓数据与通过硬件模块处理后得到的数据结果存在误差,在单个时间窗口内误差最大值为2个光子数,误差平均值占光子数统计平均值的0.084%;两组统计的脉冲轮廓数据中不同数据占总数据个数的9.481%,这样的误差不影响后端模拟导航模块的导航。利用硬件实现的历元叠加及其数据整合模块具有处理速度快、设备紧凑、功耗低的特点,为航天器利用X射线脉冲星导航提供了一种可行的硬件数据处理技术上的支持。     

A new steering approach for VSCMGs with high precision

A new variable speed control moment gyro (VSCMG) steering law is proposed in order to achieve higher torque precision. The dynamics of VSCMGs is established, and two work modes are then designed according to command torque:control momentum gyro (CMG)/reaction wheel (RW) hybrid mode for the large torque case and RW single mode for the small. When working in the CMG/RW hybrid mode, the steering law deals with the gimbal dead-zone nonlinearity through compensation by RW sub-mode. This is in contrast to the conventional CMG singularity avoidance and wheel speed equalization, as well as the proof of definitely hyperbolic singular property of the CMG sub-mode. When working in the RW single mode, the motion of gimbals will be locked. Both the transition from CMG/RW hybrid mode to RW single mode and the reverse are studied. During the transition, wheel speed equalization and singularity avoidance of both the CMG and RW sub-modes are considered. A steering law for the RWs with locked gimbals is presented. It is shown by simulations that the VSCMGs with this new steering law could reach a better torque precision than the normal CMGs in the case of both large and small torques.     

Geostationary orbit determination using SATRE

A new strategy of precise orbit determination (POD) for GEO (Geostationary Earth Orbit) satellite using SATRE (SAtellite Time and Ranging Equipment) is presented. Two observation modes are proposed and different channels of the same instruments are used to construct different observation modes, one mode receiving time signals from their own station and the other mode receiving time signals from each other for two stations called pairs of combined observations. Using data from such a tracking network in China, the results for both modes are compared. The precise orbit determination for the Sino-1 satellite using the data from 6 June 2005 to 13 June 2005 has been carried out in this work. The RMS (Root-Mean-Square) of observing residuals for 3-day solutions with the former mode is better than 9.1 cm. The RMS of observing residuals for 3-day solutions with the latter mode is better than 4.8 cm, much better than the former mode. Orbital overlapping (3-day orbit solution with 1-day orbit overlap) tests show that the RMS of the orbit difference for the former mode is 0.16 m in the radial direction, 0.53 m in the along-track direction, 0.97 m in the cross-track direction and 1.12 m in the 3-dimension position and the RMS of the orbit difference for the latter mode is 0.36 m in the radial direction, 0.89 m in the along-track direction, 1.18 m in the cross-track direction and 1.52 m in the 3-dimension position, almost the same as the former mode. All the experiments indicate that a meter-level accuracy of orbit determination for geostationary satellite is achievable.     

A new global version of M(3000)F2 prediction model based on artificial neural networks

A new version of global empirical model for the ionospheric propagation factor, M(3000)F2 prediction is presented. Artificial neural network (ANN) technique was employed by considering the relevant geophysical input parameters which are known to influence the M(3000)F2 parameter. This new version is an update to the previous neural network based M(3000)F2 global model developed by Oyeyemi et al. (2007), and aims to address the inadequacy of the International Reference Ionosphere (IRI) M(3000)F2 model (the International Radio Consultative Committee (CCIR) M(3000)F2 model). The M(3000)F2 has been found to be relatively inaccurate in representing the diurnal structure of the low latitude region and the equatorial ionosphere. In particular, the existing hmF2 IRI model is unable to reproduce the sharp post-sunset drop in M(3000)F2 values, which correspond to a sharp post-sunset peak in the peak height of the F2 layer, hmF2. Data from 80 ionospheric stations globally, including a good number of stations in the low latitude region were considered for this work. M(3000)F2 hourly values from 1987 to 2008, spanning all periods of low and high solar activity were used for model development and verification process. The ability of the new model to predict the M(3000)F2 parameter especially in the low latitude and equatorial regions, which is known to be problematic for the existing IRI model is demonstrated.