基于新陈代谢GM（1,1）模型的导弹遥测故障预测算法

在人工监视遥测关键参数是否超出阈值范围以判断导弹故障的传统模式基础上,对GM（1,1）预测模型进行了改进,研究了基于新陈代谢的GM（1,1）预测算法对遥测参数实时预测效果.该算法能不断去掉最老的信息,充分利用最新的信息,避免了预测模型老化的现象;由于用于预测的数列维度较少,便于计算,能够保证算法的实时性.用MATLAB编程实现算法,比对实测数据的预测值与实际值,并进行误差分析.结果表明,该算法对遥测参数的预测精度较高,可为及时发现导弹故障提供科学的依据.     

Stall flutter prediction based on multi-layer GRU neural network

The modeling of dynamic stall aerodynamics is essential to stall flutter, due to the flow separation in a large-amplitude pitching oscillation process. A newly neural network based Reduced Order Model (ROM) framework for predicting the aerodynamic forces of an airfoil undergoing large-amplitude pitching oscillation at various velocities is presented in this work. First, the dynamic stall aerodynamics is calculated by solving RANS equations and the transitional SST-γ model. Afterwards, the stall flutter bifurcation behavior is calculated by the above CFD solver coupled with structural dynamic equation. The critical flutter speed and limit-cycle oscillation amplitudes are consistent with those obtained by experiments. A newly multi-layer Gated Recurrent Unit (GRU) neural network based ROM is constructed to accelerate the calculation of aerodynamic forces. The training and validation process are carried out upon the unsteady aerodynamic data obtained by the proposed CFD method. The well-trained ROM is then coupled with the structure equation at a specific velocity, the Limit-Cycle Oscillation (LCO) of stall flutter under this flow condition is predicted precisely and more quickly. In order to predict both the critical flutter velocity and LCO amplitudes after bifurcation at different velocities, a new ROM with GRU neural network considering the variation of flow velocities is developed. The stall flutter results predicted by ROM agree well with the CFD ones at different velocities. Finally, a brief sensitivity analysis of two structural parameters of ROM is carried out. It infers the potential of the presented modeling method to depict the nonlinearity of dynamic stall and stall flutter phenomenon.     

Double-decoupled inverse design of natural laminar flow nacelle under transonic conditions

The inverse design based on the pressure distribution is an essential approach to realize the improvement of Natural Laminar Flow(NLF) performance for nacelles. However, the direct definition of target pressure distribution at design point is challenging for the dilemma to consider the constraints of shock wave and laminar flow at the same time. In addition, the universality of method will be limited when the inverse design is strongly coupled with the solver. Thus, a double-decoupled methodolog...     

以可用度为目标的民用飞机不完全预防性维修间隔优化

民用飞机制造商推荐的初始预防性维修间隔通常不考虑运营环境和维修能力的差异,在满足飞机安全性要求的同时,难以达到可用性的最优状态。基于不完全维修理论,采用役龄回退因子修正部件的可靠性模型,以反映维修工作对于部件性能的影响;结合航空公司运行实际情况,以部件可用度为目标函数,可靠度阈值为约束条件,提出不完全维修策略下的预防性维修间隔优化模型,并以某型飞机的空气起动机航线故障数据进行实例验证。结果表明：在满足可靠度阈值的约束条件下,所建立的维修间隔优化模型得出的最优维修间隔与实际相符,该模型合理可行。     

复合材料薄壁梁扭转的高次翘曲理论

利用翘曲连续修正概念导出表示剖面翘曲位移的形函数序列,据此建立单闭室复合材料薄壁梁扭转分析的高次翘曲理论,并结合分层的具体情况,考察分层对复合材料薄壁梁扭转翘曲的影响。算例表明,该高次翘曲理论具有很好的收敛性。     

柔性航天器的动力学建模问题

首先简单介绍了关于柔性航天器动力学建模的一些综述论文,指出了柔性航天器动力学建模的困难所在。然后,分别对柔性体变形运动的描述模型,浮动参考架的选择、动力学方程的建立和模型降阶等问题进行了探讨。     

太阳大气中湍动场对CaⅡK线的影响

本文运用黑子半影模型研究了中介湍动场对太阳大气中CaII K线的影响。结果表明,空间分辨率的提高以及湍动元长度的增加均可导致观测谱线轮廓的不对称。当湍动元长度小于40km时,中介湍动场可以用微观和宏观湍动的组合来模拟,对大气模型及谱线轮廓的计算基本无影响;但当湍动元长度大于40km时,这种简化的处理方法可能导致大气模型上层色球温度偏高。文中通过一个计算实例,说明了在太阳大气模型计算中,只用中介湍动也可能使谱线的理论轮廓同观测基本相符。      

大型星载可展开天线的展开动力学问题

针对大型星载可展开天线所具有的尺寸大、刚性小、展开机构复杂,所处环境恶劣等特点,结合天线的构形特征,着重从可展开天线展开动力学的建模角度,综述了可展开天线的展开动力学问题。对解决途径及办法提出了一些看法。     

综合效益模型求解方法的探讨

综合效益模型,是一种综合多因素影响的动态模型,它既包括一般效益模型,又考虑最优投资的优化效益模型。前者求解,可用解析法;后者求解,就不那么容易。文章分析了模型特征,认为是一个固定端点的最优控制问题,从而,选用格林定理（公式）能较好地求得满意解。     

航天器热网络模型及其系数修正方法

叙述了目前航天器热网络模型与航天器实际换热之间的偏差,提出了利用航天器稳态热平衡试验结果进行热网络模型及其系数修正的方法。通过对某仪器舱热平衡试验数据的处理,实现了对该仪器舱热网络模型及其系数的修正,并对修正的结果进行了讨论。