用于ZEEMAN频率测量的数字合成器

ZEEMAN频率是氢脉泽时间频率标准的一个重要工作参数,为此上海天文台研制了一种专用的数字频率合成器,用来测量ZEEMAN频率。描述了该数字频率合成器的工作原理、设计方法和应用结果,该数字合成器,就配备在上海天文台新研制成功的氢脉泽标准而言,以其性能与价格而论,证明是成功的。     

某载人试验舱环境控制系统加湿器的研制

介绍了一种用于环境模拟试验系统的加湿器，并详细描述了其工作原理和设备能力的确定方法。该加湿器可用于压力环境下湿度的精确控制。     

半球谐振子镀膜残余应力对品质因数影响特性分析

针对半球谐振子表面金属薄膜残余应力分布情况,对半球谐振子Q值的影响特性进行仿真。根据仿真结果,采用多自由度磁控溅射及基底均匀加热的方法进行薄膜沉积工艺试验。控制多自由度旋转机构自传、公转、摆动参数分别为7(r/min)、12(r/min)、15(°)/s,基体均匀加热至120℃,溅射时间26min后得到100nm左右的膜层厚度。在真空状态下对半球谐振子镀膜后品质因数进行检测,结果表明可有效控制镀膜后Q值衰减不大于30%。     

大型民机复合材料整体油箱雷电、静电防护设计

复合材料的电性能相比铝、钛合金之类的金属材料差别很大,且是各向异性的。其有效电导率比金属材料小得多,用复合材料制成大型飞机蒙皮后,将大大降低蒙皮隔离外部电磁场的屏蔽效能和传导电荷的能力。复合材料整体油箱在雷电、静电防护及电荷传导以及油箱内设备电磁防护设计方面不同于金属材料,有其特殊的设计要求和方案。     

激光技术应用综述

在论述激光的主要特性基础上，主要介绍了激光雷达、激光引信、激光图像记录仪等的工作原理、应用范围和发展水平。     

星上控温策略的地面模拟与验证

为充分验证卫星在轨温度控制策略的适用性和效果,针对航天器在轨温度控制的特点及方式,提出一种在地面模拟星上控温策略的方法。该方法包含:设计开发一套适用于航天器真空热试验的星上控温模拟系统及基于比例开关控制算法的星上控温模拟软件;采用并行驱动技术实现单个控温时间片为1 s的时间控制精度,工况稳定后温度控制误差不超过±0.3℃。该方法已成功应用于某型号卫星真空热试验过程,系统配置灵活、操作简单、控温周期短、控温精度高,实现了星上控温策略的有效验证。     

基于闭环电流平均值法的永磁同步电机谐波抑制方法

由于逆变器的非线性及永磁同步电机(PMSM)的气隙磁场畸变,在运行过程中PMSM定子电流中含有大量的谐波分量,导致电流波形发生畸变,从而引起较大的转矩脉动。针对传统谐波抑制方法采用低通滤波器(LPF)提取5、7次谐波分量,动态响应时间长,稳态误差大的问题,提出了闭环电流平均值法提取谐波分量。仿真结果表明,闭环电流平均值法可以提高系统的快速性和稳定性。将电流平均值法应用于PMSM谐波抑制系统,仿真结果表明:基于闭环电流平均值法的谐波电压注入法可以降低电流波形的畸变率及5、7次谐波含量。     

Z源NPC三电平变换器恒功率并网控制策略研究

Z源中点钳位式(NPC)三电平变换器把逆变和升压两种环节结合在一起,结构简单、工作效率高,但是针对这种结构输出的无功功率研究较少。提出了一种Z源NPC三电平变换器的恒功率并网控制策略。首先对这种变换器的结构及原理进行分析;再把恒功率控制引入到这种变换器的并网控制中,并采用空间矢量脉宽调制(SVPWM)实现了变换器的并网控制。MATLAB/Simulink软件仿真结果证明了这种变换器能够提高电压升压比。该控制策略可使变换器输出的有功功率、无功功率稳定于设定值,且并网电流谐波较低。     

Thermoelastohydrodynamic analysis of misaligned bearings with texture on journal surface under high-speed and heavy-load conditions

Hydrodynamic journal bearings are used to support the planetary gears in the transmission system of a Geared Turbo Fan engine, and they operate under severe working conditions, such as misalignment, high speed, and heavy load. Surface texture is regarded as an effective approach to improve mechanical properties under severe working conditions. However, the effects of surface texture on misaligned journal bearings under severe conditions have not been well studied. Therefore, a thermoelastohydrodynamic(TEHD) lubricating model with a textured and misaligned journal is presented in this study. Solid deformation, heat transfer between oil and the bearing, and heat convection between air and the bearing are considered in the model. The effects of cavitation and viscosity-temperature are also taken into account. The impacts of surface texture parameters and the misalignment angle on lubricating properties are investigated in the model. Results indicate that the bearing lubricating performance is greatly improved by optimal surface texture considering journal misalignment. The maximum oil film pressure and load-carrying capacity of a journal bearing increase with journal misalignment. Meanwhile, the oil film temperature increases sharply while considering misalignment.     

Aircraft engine fault detection based on grouped convolutional denoising autoencoders

Many existing aircraft engine fault detection methods are highly dependent on performance deviation data that are provided by the original equipment manufacturer. To improve the independent engine fault detection ability, Aircraft Communications Addressing and Reporting System (ACARS) data can be used. However, owing to the characteristics of high dimension, complex correlations between parameters, and large noise content, it is difficult for existing methods to detect faults effectively by using ACARS data. To solve this problem, a novel engine fault detection method based on original ACARS data is proposed. First, inspired by computer vision methods, all variables were divided into separated groups according to their correlations. Then, an improved convolutional denoising autoencoder was used to extract the features of each group. Finally, all of the extracted features were fused to form feature vectors. Thereby, fault samples could be identified based on these feature vectors. Experiments were conducted to validate the effectiveness and efficiency of our method and other competing methods by considering real ACARS data as the data source. The results reveal the good performance of our method with regard to comprehensive fault detection and robustness. Additionally, the computational and time costs of our method are shown to be relatively low.