基于改进粒子群算法辨识Volterra级数的目标机动轨迹预测

目标机动轨迹预测是空战态势感知和目标威胁评估的重要前提。针对传统目标机动轨迹预测模型复杂度大、预测精度低等问题，结合目标机动轨迹时间序列的混沌特性，提出一种基于相空间重构理论和Volterra泛函级数的目标机动轨迹预测模型。该模型首先采用0-1检测法验证了目标机动轨迹时间序列具有混沌特性；其次，利用C-C法确定嵌入维数和时间延迟，对目标机动轨迹时间序列进行了相空间重构；然后，引入Volterra泛函级数预测模型，为了克服高阶Volterra核函数求解复杂的难题，提出一种混沌变异自适应粒子群算法，构建一种基于改进粒子群算法辨识的Volterra级数预测模型，并将其应用于目标机动轨迹预测；最后，将所提算法与卡尔曼滤波算法以及机器学习算法进行单步和多步预测对比，同时将改进粒子群算法与其他智能算法进行性能比较。仿真结果表明：所提预测模型具有良好的单步和多步预测性能，改进的粒子群算法具有参数辨识精度高、收敛速度快的优点。     

风机叶片静载荷和模态测试技术

对近期国内外在风机叶片静载荷测试和模态测试方面的研究成果、测试标准和测试机构进行了评述.     

静止侧压力系数及其试验方法

静止侧压力系数是岩土工程中一个非常重要的参数，本文分析和讨论静止侧压力定义及其试验方法以及相关试验设备，以便引起广大学者关注静止侧压力系数确定法及其选取等方面的研究。     

Reliability design optimization of composite structures based on PSO together with FEA

The present work aims to develop a method for reliability-based optimum design of composite structures. A procedure combining particle swarm optimization (PSO) and finite element analysis (FEA) has been proposed. Numerical examples for the reliability design optimization (RDO) of a laminate and a composite cylindrical shell are worked out to demonstrate the effectiveness of the method. Then a design for composite pressure vessels is studied. The advantages and necessity of RDO over the conventional equi-strength design are addressed. Examples show that the proposed method has good stability and is efficient in dealing with the probabilistic optimal design of composite structures. It may serve as an effective tool to optimize other complicated structures with uncertainties.     

民用飞机构型定义应用分析

通过分析国内外民用飞机构型定义案例,说明民用飞机构型定义方法。分析MBD技术在B787飞机研制中的应用,提出了构型定义的应用建议,给民用飞机研制带来了新的思维。     

考虑人及组织因素的航天工程项目风险分析模型

针对人及组织因素是造成航天工程项目风险的重要原因,在揭示了人及组织因素产生航天工程项目风险的机理基础上,构建了考虑人及组织因素的航天工程项目风险分析模型。模型首先评价人及组织因素对航天工程元器件建造工作质量的影响,接着测度工作质量与不同缺陷类型之间的一致性概率,并应用Poisson分布计算缺陷严重性,最后根据贝叶斯定理对元器件先验失效率进行修正,通过一个经过数据处理的航天工程项目对所构建的模型和方法进行了验证。     

基于IVI驱动的真空热试验数据采集系统软件开发

目前国内大型空间环境模拟器配备了多种型号的数据采集系统,主要负责完成对多种数据信号的综合测试。文章以Keithley 3706数据采集系统为设计对象,在VB6.0的开发环境中设计了基于IVI驱动的数据采集软件,给出了IVI驱动的设计过程及软件代码。实践表明,IVI驱动的引入提高了数据采集系统的开发效率,降低了研制成本,实现了数据采集系统的硬件无关性。     

双干涉光纤陀螺光纤环温度致非互易性分析

双干涉光纤陀螺是一种新型光纤陀螺,可加倍Sagnac信号,具有轻小型、高信噪比的优点.为改善双干涉光纤陀螺光纤环的温度性能,针对其光路建立了光纤环温度致非互易误差模型,仿真分析了光纤环中90°熔点位置对温度致非互易误差的影响,提出了将90°熔点置于光纤环中点时陀螺的温度致非互易误差将显著减小,并进行了实验验证,实验结果与理论分析相符.结果表明将90°熔点置于光纤环中点可使双干涉光纤陀螺的温度致非互易误差降低为原来的1/400.      

一种方位时变GEO SAR成像处理新算法

针对地球同步轨道合成孔径雷达(GEO SAR)回波模型的距离空变和方位时变问题,提出一种基于改进距离-多普勒(RD)和方位向调频尺度变换(CS)的成像算法。首先引入四阶泰勒展开模型解决成像中存在的弯曲轨迹问题,然后对传统RD算法进行改进,补偿距离空变,最后对方位时变进行建模,通过方位向CS补偿方位时变,使GEO SAR能够进行更大场景的成像。结合天基雷达先进仿真系统(SBRAS)进行仿真,验证了该算法的有效性。     

Large-eddy simulation and linear acoustic modeling of entropy mode oscillations in a model combustor with coolant injection

Lean-burn combustor is particularly susceptible to combustion instability and the unsteady heat release is usually considered as the excitation of the self-maintained thermo-acoustic oscillations. The transverse coolant injection is widely used to reduce the temperature of burnt gas, but on the other hand, it will introduce temperature fluctuation inside the combustor. Therefore, it is necessary to consider the influence of the coolant injection on combustion instability, and evaluate its dynamic feature. In this paper, Large-Eddy Simulation (LES) of the self-excited pressure oscillations in a model combustor with coolant injection is carried out. The analysis of transient flow characteristics and the identification of the pressure modes confirm that one of the low frequency pressure oscillations is related to entropy fluctuations, which is known as rumble combustion instability. The LES results show that transient coolant injection is another excitation of temperature fluctuation other than unsteady combustion. The amplitude of the entropy mode oscillation increases with increasing coolant air mass whereas the change of its frequency is insignificant. According to the major feature of entropy wave oscillation caused by coolant injection, a compact coolant injection model is proposed and applied in the One Dimensional (1D) Acoustic Network Method (ANM). Key correlations used in the model match well with LES data in low frequency range. This means that the coolant injection model is a complex one reflecting the interaction of the fluctuating coolant mass, pressure and temperature. Finally, the combustion instability frequencies and modes predicted by acoustic network method are also in good agreement with LES results.