基于频率源稳定度的钟差序列生成方法研究

基于频率源噪声特性和幂率谱密度之间的关系,构建了一种通过频率源目标稳定度反向生成虚拟钟差序列模型,利用虚拟钟差序列模型可以快速、高效地生成目标频率源的长期钟差数据。针对不同类型频率源的组合噪声特征,采用传统的噪声模型生成5种频率源噪声,然后利用仿真分析验证虚拟钟差序列生成模型的正确性。通过比对仿真结果可知,基于铷钟、氢钟和铯钟的虚拟钟差序列的稳定度与实测钟差序列的稳定度基本相符,重建虚拟钟差序列能够准确地反映其频率噪声特性,因此,文中采用频率源目标稳定度生成其钟差序列的方法可行、有效。     

Oxygen concentration variation in ullage influenced by dissolved oxygen evolution

To determine the oxygen concentration variation in ullage that results from dissolved oxygen evolution in an inert aircraft fuel tank, the CFD method with a mass transfer source is applied in the present study. An experimental system is also designed to evaluate the accuracy of the CFD simulations. The dissolved oxygen evolution is simulated under different conditions of fuel load and initial oxygen concentration in ullage of an inert fuel tank with stimulations of heating and pressure decrease....     

喷管偏转对航空发动机特性影响的试验

通过整机地面试验的方法,对喷管偏转后发动机不同工作状态下各参数的分析,获得了矢量偏转时发动机推力损失、偏转效率、发动机工作特性变化等数据.试验结果表明:在相同高压转速下,随着几何矢量角的增大,发动机的推力损失增大,偏转效率先增大后减小;在相同几何矢量角下,随着转速的增加,发动机推力损失经历由增大到减小的过程,矢量喷管的偏转效率增大,但偏转效率均小于1;节流状态时发动机转速差随着几何矢量角的增大而增大,中间状态时发动机转速差不受几何矢量角的影响;发动机节流状态时的矢量偏转使风扇工作线上移,风扇裕度减小,工程应用中需考虑扩稳措施.      

基于天线驱动组件的多体卫星MIMO控制及稳定裕度应用研究

针对两输入两输出的多体卫星控制系统,采用工程中的天线驱动组件为天线转动提供驱动力矩,在天线小角度机动条件下,对此线性模型采用多变量频域设计法中的序列回差设计技术,设计卫星本体俯仰姿态和天线转动的多输入多输出(MIMO)控制器,利用Nyquist稳定判据证明系统的稳定性.在此基础上分别利用回差阵奇异值法和逆回差阵奇异值法计算MIMO控制系统的稳定裕度,将两种方法所得结果相结合以减小稳定裕度计算的保守性,最后通过数值仿真验证了控制算法和控制系统稳定裕度结果的有效性.     

Multi-objective design optimization of the transverse gaseous jet in supersonic flows

The mixing process between the injectant and the supersonic crossflow is one of the important issues for the design of the scramjet engine, and the efficiency mixing has a great impact on the improvement of the combustion efficiency. A hovering vortex is formed between the separation region and the barrel shock wave, and this may be induced by the large negative density gradient. The separation region provides a good mixing area for the injectant and the subsonic boundary layer. In the current study, the transverse injection flow field with a freestream Mach number of 3.5 has been optimized by the non-dominated sorting genetic algorithm (NSGA II) coupled with the Kriging surrogate model; and the variance analysis method and the extreme difference analysis method have been employed to evaluate the values of the objective functions. The obtained results show that the jet-to-crossflow pressure ratio is the most important design variable for the transverse injection flow field, and the injectant molecular weight and the slot width should be considered for the mixing process between the injectant and the supersonic crossflow. There exists an optimal penetration height for the mixing efficiency, and its value is about 14.3 mm in the range considered in the current study. The larger penetration height provides a larger total pressure loss, and there must be a tradeoff between these two objection functions. In addition, this study demonstrates that the multi-objective design optimization method with the data mining technique can be used efficiently to explore the relationship between the design variables and the objective functions.     

Exploring Regional Variation in Spatial Language Using Spatially Stratified Web-Sampled Route Direction Documents

Spatial language, such as route directions, can be analyzed to shed light on how humans communicate and conceptualize spatial knowledge. This article details a computational linguistic approach using route directions to study regional variations in spatial language. We developed a web-sourcing approach to collect human-generated route direction documents on a geographical scale. Specifically, we built the Spatially strAtified Route Direction (SARD) Corpus through automated scraping, classifying, and georeferencing of route directions. Based on semantic categories of cardinal and relative direction terms, the analysis of the SARD Corpus reveals significant differences and patterns on both national (United States, United Kingdom, and Australia) and regional (contiguous U.S. states) levels. Combining computational linguistics and georeferencing approaches offers the potential for extending classic spatial linguistic studies.     

BPL长波附加二次相位因子采集与建模

分析了长波BPL授时传播误差,设计了一个定点附加二次相位因子(ASF)传播误差数据实时采集系统。对误差模型进行了系统辨识研究,研究结果表明定点附加二次相位因子(ASF)误差基本属于平稳随机过程。并运用时间序列分析方法对BPL长波传播中附加二次相位因子(ASF)进行研究,取得初步模型数据,得到一些有益的结论,为获得的模型数据为进行ASF误差的预测及扣除其对长波BPL授时影响,提高授时精度的研究提供了依据。     

高超声速再入飞行器的特征建模及自适应递推滑模控制

针对高超声速再入飞行器非线性程度高、参数不确定性大、快时变等特点,提出一种基于神经网络特征模型的自适应滑模姿态控制方案。首先,采用现有特征建模方法,将对象模型中的非线性、时变不确定性压缩至特征参量中;进一步,结合模糊神经网络,将快时变特征显式地表征在特征模型中,使得待估计的特征参量具有时不变特性,从而易于其自适应律的设计。然后,在该神经网络特征模型的框架下,设计递推形式的自适应滑模控制律,以进一步提高飞行控制系统的鲁棒性。最后,通过仿真校验了所提出控制方法的正确性和有效性。     

航天器再生伪码测距体制分析

再生伪码测距体制通过对上行伪码测距信号进行恢复,并重新调制到下行载波发送,可以获得可观的测距信号信噪比增益。对这部分增益的合理使用,可以获得较高的测距精度,也可以获得较短的测距时间,还可以提高遥测信号的功率。本文从测距码、捕获时间以及测距信号与遥控/遥测信号之间的相互干扰3方面介绍了再生伪码测距体制。     

基于长短期记忆网络时序数据趋势预测及应用

为了研究状态监测大数据对设备运行状态的估计和预测,提出了一种人工经验与主成分分析相结合的长短期记忆网络方法(AEPCA-LSTM),利用运行过程中的监测时序数据对设备运行趋势进行预测.通过基于人工经验的主要成分分析方法(AEPCA)从状态监测系统中提取与目标变量最相关的状态变量作为输入;利用长短期记忆网络(LSTM)对...