无刷直流电动机的新型自适应模糊神经控制

 为无刷直流电动机提出了一种自适应模糊神经控制方法.这是一种建立在开关控制、模糊控制和自适应控制相结合基础上的控制方法,并用神经网络实现了模糊控制器和自适应机构.在无刷直流电动机的双闭环调速系统中,电流控制器是PI控制器;转速控制器是由1个开关控制器和1个包括自适应机构在内的模糊控制器相结合组成的,且用1个3层前向神经网络离线学习实现了模糊控制器,学习算法采用的是改进的BP算法.用1个单神经元通过在系统运行过程中的动态学习实现了自适应机构,学习算法选用了有监督的Hebb学习算法.由电机所处的运行阶段决定哪一个控制器工作.此控制算法的仿真结果说明,它使系统具有良好的动、静态特性和自适应性.     

基于参数化模型和遗传算法的复合材料加筋壁板结构选型优化研究

针对复合材料加筋壁板的结构优化选型问题,采用辅助层压板和添加极小弹性模量材料的复合材料加筋壁板有限元建模方法,应用PATRAN/NASTRAN的参数化建模功能和遗传算法相结合的复合材料加筋壁板的优化方法,对5种复合材料结构形式进行了从2000N/mm到6000N/mm压缩载荷下的结构优化分析。结果表明,当载荷小于4500N/mm时,最有效的加筋壁板结构型式为J型;当压缩载荷大于4500N/mm时,最有效的加筋壁板结构型式为I型。     

外翼上壁板根部连接形式对飞机承载能力的影响研究

在飞机结构设计中,外翼上壁板根部连接处结构形式对飞机的传力、变形、承载能力具有重要影响.通过对3种不同形式的上壁板根部连接方案进行压缩试验,研究各方案的承载能力、破坏方式.通过三维有限元方法,计算了连接部位的主要螺钉所分配的载荷,研究了长桁根部斜角对结构屈服载荷的影响,得到了最优的选型方案.     

Initial nighttime ionospheric observations with advanced ionospheric probe onboard FORMOSAT-5

FORMOSAT-5 satellite was launched into a sun-synchronous orbit at 720 km altitude with 98.28° inclination on 25 August 2017. The onboard scientific payload, Advanced Ionospheric Probe (AIP) is capable of measuring topside ionospheric ion density, cross-track flow velocities, ion composition and temperature, and electron temperature. Initial observations of nighttime midlatitude ionospheric density and vertical flow velocity variations at 2230 LT sector during a few quiet magnetic days in December 2017 are studied here. Longitudinal density variations in the equatorward edge of midlatitude ionospheric trough (MIT) region are noticed. Accompanied with this density variation, the vertical flow velocities also behave differently. Although the density difference has been stated due to zonal wind effect related to the declination of the geomagnetic field lines, the vertical flow velocity variation seems to play the opposite role. All these density and vertical flow observations in the northern winter hemisphere can only be explained by the longitudinal differences in the diffusion velocity coming down from the protonsphere (plasmasphere). In addition, the hemispheric asymmetry in the vertical flow velocity can also be explained by the interaction between the topside ionosphere and the protonsphere. The observed vertical flow variations near MIT at different longitudes should present a new potential tool for the study of MIT formation.     

High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere

Atmospheric water vapour plays an important role in phenomena related to the global hydrologic cycle and climate change. However, the rapid temporal–spatial variation in global tropospheric water vapour has not been well investigated due to a lack of long-term, high-temporal-resolution precipitable water vapour (PWV). Accordingly, this study generates an hourly PWV dataset for 272 ground-based International Global Navigation Satellite System (GNSS) Service (IGS) stations over the period of 2005–2016 using the zenith troposphere delay (ZTD) derived from global-scale GNSS observation. The root mean square (RMS) of the hourly ZTD obtained from the IGS tropospheric product is approximately 4 mm. A fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ECMWF ERA5) is used to obtain hourly surface temperature (T) and pressure (P), which are first validated with GNSS synoptic station data and radiosonde data, respectively. Then, T and P are used to calculate the water vapour-weighted atmospheric mean temperature (Tm) and zenith hydrostatic delay (ZHD), respectively. T and P at the GNSS stations are obtained via an interpolation in the horizontal and vertical directions using the grid-based ERA5 reanalysis dataset. Here, Tm is calculated using a neural network model, whereas ZHD is obtained using an empirical Saastamoinen model. The RMS values of T and P at the collocated 693 radiosonde stations are 1.6 K and 3.1 hPa, respectively. Therefore, the theoretical error of PWV caused by the errors in ZTD, T and P is on the order of approximately 2.1 mm. A practical comparison experiment is performed using 97 collocated radiosonde stations and 23 GNSS stations equipped with meteorological sensors. The RMS and bias of the hourly PWV dataset are 2.87/?0.16 and 2.45/0.55 mm, respectively, when compared with radiosonde and GNSS stations equipped with meteorological sensors. Additionally, preliminary analysis of the hourly PWV dataset during the EI Niño event of 2014–2016 further indicates the capability of monitoring the daily changes in atmospheric water vapour. This finding is interesting and significant for further climate research.     

Effect of curing condition on bonding quality of scarf-repaired composite laminates

Both single-face vacuum bag curing (SVC) and double-face vacuum bag curing (DVC) can be used in scarf repair of composite structures. But different curing conditions caused by the sealing state may affect the bonding quality of scarf-repaired structures. In this paper, the effect of curing condition on bonding quality of scarf-repaired laminates was experimentally investigated in terms of surface profiles, moisture absorption curves and section profiles. In order to further explore the moisture absorption mechanism, finite element model of the repaired laminates using DVC was established with moisture diffusion of both the adhesive and composite laminates considered. This model was verified by experimental results. Based on the model of DVC case, the model of SVC case was built by changing moisture absorption parameters of the adhesive. Results show that SVC reduces the bonding quality, mainly reflecting in more adhesive inner voids and patch-to-parent dislocation. And SVC increases moisture absorption rate and moisture equilibrium content of the adhesive, and its effect on the former is far greater than that on the latter.     

基于计划到达时刻的四维航迹规划

为了加速空管自动化与智能化技术的应用与实施,提出了水平航迹与高度/速度剖面分阶段设计的四维航迹规划方法。基于动态时间规整与层次聚类方法实现历史雷达航迹聚类分析,完成水平航迹设计。建立速度剖面规划模型,通过航迹生成器与速度调整器交互协作,精细化控制进场时间,以满足计划到达时间要求。以上海浦东国际机场PINOT进场航班为例实施验证,结果表明,四维航迹规划方法可有效实现航班的计划到达时间,从而减少航班延误,提高终端空域运行效率。     

基于模型的系统工程概述

由于航空领域涉及的系统日益高度复杂,为更好推进基于模型的系统工程(Model Based System Engineering,MBSE)研发体系,通过从当前遇到的问题、推行基于模型的系统工程的必要性、优势、未来的挑战等方面进行了较为详细地阐述.基于模型的系统工程研发体系具有知识表示的无二义、系统设计的一体化、沟通交流的高效率等优势,是未来发展的大趋势.     

基于响应曲面法的高速内冷铣削AISI304不锈钢铣削力

针对硬质合金刀具高速内冷铣削AISI304不锈钢时,切削力大、切削温度高及加工表面质量低的问题。基于响应曲面中心复合设计方法进行高速内冷铣削实验,建立了铣削力分量二阶回归预测模型,并进行了实验验证。对比了干式与内冷铣削后的加工表面质量,分析了铣削参数对铣削力分量的影响规律,以铣削力分量最小为目标优化了铣削参数。结果表明:进给力和径向力的预测值与实验值的误差分别为4. 77%和6. 16%;内冷铣削的Ra为0. 193～0. 327μm;对铣削力分量的影响是铣削深度转速进给量,随着铣削深度和转速的增加,进给力先升高后降低,径向力逐步增加,铣削深度与转速的交互作用对进给力和径向力的影响显著;转速11 643. 63 r/min、铣削深度1 mm、进给量0. 08 mm/r为最优铣削参数组合。     

工业CT检测技术在5 kN发动机研制中的应用

针对5 kN发动机结构焊缝和复合材料喷管不可检不可测的难题,开展了工业CT检测技术研究。分析了复杂结构焊缝和复合材料喷管的常规方法检测难点,利用工业CT检测技术穿透能力强、不受工件复杂结构影响的优势,对5 kN发动机产品中的电子束焊缝、氩弧焊焊缝、复合材料喷管等结构进行了检测试验,得到了良好的检测效果。结果表明,工业CT检测技术可以识别5 kN发动机产品中的气孔、未焊透、分层、裂纹等缺陷,并实现对缺陷的定位与测量,可为焊缝质量评估提供依据。