基于深度神经网络的客机总体设计参数敏感性分析

飞机总体主要设计参数敏感性分析揭示了总体主要设计参数对飞机特性指标的影响,有助于总体设计方案的决策。针对宽体客机总体主要设计参数敏感性问题,根据其总体主要设计参数和特性指标的特点,以及多学科间的耦合关系,建立了深度神经网络模型。该深度神经网络模型以客机总体主要设计参数为输入,对特性指标进行预测。在深度神经网络模型中,设置了多个输入层、多个输出层以及多个分块的隐藏层,从而模拟客机总体主要设计参数对特性指标的影响以及不同特性指标之间的相互作用。测试结果表明,与传统代理模型相比,深度神经网络模型对客机特性指标的预测精度更高,多参数适应性更好。利用该深度神经网络模型对客机总体主要设计参数进行敏感性分析。分析结果表明,机翼1/4弦线后掠角在30°~31.5°时,有利于减少最大起飞重量和起飞平衡场长;发动机海平面最大静推力和机翼面积对客机直接使用成本、最大起飞重量等特性指标的影响最为显著。     

涡轮气冷动叶片伸根段参数化设计方法研究

提出了叶片伸根段控制截面线生成方法.将伸根段设计分为内型和外型两部分,通过直纹面插值法获取伸根内型截面线,再通过变壁厚法获取伸根外型截面线,详细分析了其中的关键技术和算法;提取了伸根设计参数,开发了伸根设计专用模块,实践证明,应用本模块进行伸根设计,可以极大提高伸根乃至整个叶片设计效率.     

基于同步电机电抗参数定义式的仿真计算方法

从同步电机各种稳态和瞬态电抗参数的定义、各种电抗参数与电机内部各绕组和磁路结构之间的电磁关系出发,提出了一种基于电抗参数定义式的仿真计算方法,给出了详细的仿真计算步骤。通过算例与样机实测结果的对比,表明仿真计算结果与实测值非常吻合,从而验证了所提计算方法的有效性和准确性。     

电气化飞机电力系统智能化设计研究综述

能源危机和环境问题推动了绿色航空的发展,飞机电气化是绿色航空的主要实现手段,已经成为航空技术发展的重要方向。本文介绍了飞机电气化的发展历程,阐述了电气化飞机电力系统的关键技术及其研究现状,分析了先进飞机电力系统设计的关键技术,指出了飞机电力系统综合化、智能化的发展特点。在分析飞机电力系统设计存在的问题的基础上,文章初步提出了电气化飞机电力系统智能化设计平台的理论框架、功能和特点,分析了支撑电力系统智能化设计平台的关键技术,指出了航空智能化设计的研究方向。     

高超声速弯曲激波压缩侧压式进气道数值研究

采用壁面马赫数呈线性分布的曲面压缩系统改进参考侧压式进气道的顶板,得到弯曲激波压缩侧压式进气道,并与参考侧压式进气道进行了比较.数值研究结果表明:设计状态无黏时曲面压缩顶板壁面马赫数分布与给定的马赫数分布基本一致,并且有黏时其壁面压力分布也与二维曲面的基本相同;同参考侧压式进气道相比,顶板采用曲面压缩能够一定程度地改善壁面压力分布,使其末端压力梯度变化平缓;并且非设计状态下的性能也得到有效地改善,特别是来流马赫数为4时,其流量系数提高6.0%、达到0.799,喉道截面总压恢复系数提高1.9%;来流马赫数为5时,其流量系数提高5.2%、达到0.909,喉道截面总压恢复系数提高3.2%.随着攻角增大,该进气道流量捕获能力增强、隔离段出口截面流场畸变减小,但喉道截面总压恢复系数下降剧烈.      

面向客机总体设计的涡扇发动机分析模型

建立一种用于估算涡扇发动机特性的工程分析模型,该模型以涡喷发动机推力估算模型与涡扇发动机效率分析方法为基础,引入高涵道比涡扇发动机的循环分析方法进行修正。利用该模型可以获取涡扇发动机的推力和油耗特性,进而考察总体循环参数对发动机性能的影响。通过与文献验证数据对比,判定了分析模型的精度。该模型只需要输入少量参数就可以快速完成计算过程,适合于飞机总体设计阶段,可以评估涡扇发动机参数对飞机性能的影响。     

无纵向温度变形的复合材料管的铺层设计

提出了无纵向温度变形的复合材料管子铺层设计的一种方法。通过对三类碳纤维／环氧复合材料的管子的实例计算表明：高模碳纤维,而不是极高模量碳纤维,更适合于航天结构的应用。     

Numerical simulation of the three-dimensional flow-path in a ram-rotor

A kind of three-dimensional flow-path of the ram-rotor was designed in this paper according to the design method of the typical supersonic intake of aircraft and missiles,especially the design method of the compression ramp,the throat and the subsonic diffuser.The design Mach number of the flow-path was based on the averaged relative Mach number,regardless of the change of incoming Mach number along radial direction of the flow-path.Then,the flowfield of the designed flow-path was simulated numerically with computational fluid dynamics software at design point.The purpose of simulation was to obtain the details of the flowfield,including the structure of the shock wave system,position of flow separation zone,and so on.The performance of the ram-rotor was also evaluated.The numerical results show the structure of the shock wave system in the flow-path is similar to that in the supersonic intake.To improve the overall performance of the ram-rotor,the reasonable compromise between the total pressure ratio and the isentropic adiabatic efficiency should be reached.The structure optimization of the flow-path and the configuration of the shock wave system have great influence on the performance of the ram-rotor.      

歼击机的鲁棒反馈控制器设计

本文应用时域多变量鲁棒控制方法设计歼击机的飞行控制系统。设计出的鲁棒控制器具有固定的设计参数和增益。在模型误差、参数波动和歼击机气动特性显著变化的情况下,可以保证飞行稳定并有良好的动态响应。     

Development and performance evaluation of tropospheric scintillation model on Ku-band satellite link over Akure,Nigeria

Existing amplitude scintillation prediction models often perform less satisfactorily when deployed outside the regions where they were formulated. This necessitates the need to evaluate the performance of scintillation models developed in one region using data data from other regions while documenting their relative errors. Due to its variation with elevation angle, frequency, other link parameters and meteorological factors, we employed three years (January 2016 to December 2018) of concurrently measured satellite radio beacons and tropospheric weather parameters to develop a location-based amplitude scintillation prediction model over the Earth-space path of Akure (7.17^oN, 5.18^oE), South-western Nigeria. The satellite beacon measurement used Tektronix Y400 NetTek Analyzer at 1 s integration time while meteorological parameters, namely; temperature, pressure and relative humidity were measured using Davis Vantage Vue weather station at 1 min integration time. Comparative study of the model’s performance with nine (9) existing scintillation prediction models indicates that the best and worst performing models, in terms of root mean square error (RMSE), are the Statistical Temperature and Refractivity (STN) and direct physical and statistical prediction (DPSP) models with values 11.48 and 51.03 respectively. Also, worst month analysis indicates that April, with respective enhancement and fade values of 0.88 and 0.90 dB for 0.01% exceedance, is the overall worst calendar month for amplitude scintillation.