基于系统特征的自适应被动容错控制及其应用研究

本文在黄金分割鲁棒自适应控制器的基础上，设计了一种自适应被动容错控制器，能在线辨识对象特征模型，在线提取系统动态性能行征和故障特征，对控制系统执行机构和测量部件的某些软故障具有被动容错能力。     

复合材料平板复杂应力试验的试样研究

用解析法、有限单元法对在双向载荷下平板试样的均匀应力区范围进行了计算分析,并用光弹实验进行了检验.利用双向加载试验机对单向复合材料板式试样施加不同比例的双向载荷,进行了应变分布测试,结果表明,130mm×130mm的板样在各种载荷比下,其均匀应力区范围不小于30mm×30mm.在此基础上设计了用于双向拉伸的平板试样.     

垂直度误差对复合材料单钉连接性能的影响

为揭示连接孔垂直度误差对航空复合材料连接性能的影响规律,对准各向同性碳纤维环氧树脂复合材料板进行了单钉单剪试验研究。以极限承载强度、弦刚度、2%偏移承载强度为指标研究连接孔的倾斜角度、倾斜方向以及螺栓扭矩对接头承载性能的影响规律。试验结果表明:当连接孔倾斜角度从0°增加到4°时,接头弦刚度增大10%~40%,极限承载强度下降9%~12%;连接孔倾斜方向对极限承载强度影响甚微,却可使接头弦刚度产生20%~30%的变化;增加螺栓扭矩可以有效提高极限承载强度,但对接头刚度无明显影响;连接孔倾斜角度越大,则螺栓扭矩的增大对2%偏移承载强度的强化效果越不明显。     

Hybrid calibration method for six-component force/torque transducers of wind tunnel balance based on support vector machines

A hybrid calibration approach based on support vector machines (SVM) is proposed to characterize nonlinear cross coupling of multi-dimensional transducer. It is difficult to identify these unknown nonlinearities and crosstalk just with a single conventional calibration approach. In this paper, a hybrid model comprising calibration matrix and SVM model for calibrating linearity and nonlinearity respectively is built up. The calibration matrix is determined by linear artificial neural network (ANN), and the SVM is used to compensate for the nonlinear cross coupling among each dimension. A simulation of the calibration of a multi-dimensional sensor is conducted by the SVM hybrid calibration method, which is then utilized to calibrate a six-component force/torque transducer of wind tunnel balance. From the calibrating results, it can be indicated that the SVM hybrid calibration method has improved the calibration accuracy significantly without increasing data samples, compared with calibration matrix. Moreover, with the calibration matrix, the hybrid model can provide a basis for the design of transducers.     

基于Geomagic Studio技术实现叶轮重构

<正>逆向工程技术已成为现代企业开发新产品的一种重要设计手段。为了满足客户产品逆向设计的要求,对产品设计思路和技术实现途径也有不同的选择。     

大型飞机机载设备及关键技术分析

机载设备已成为飞机实现新飞行功能、完成新任务的主要保证.机载设备是飞机的耳目、大脑和神经,可以说是飞机先进程度的一个重要标志,没有先进的机载设备就没有先进的飞机.其相关的关键技术也起着重大的作用.     

三维技术在模线样板设计中的使用

介绍三维技术在模线样板设计中的使用方法。包括平面组合件、单双曲度零件的模线样板设计中有关数据和图形的取制以及有关角度的计算过程，并通过几个典型实例详细描述了三维技术应用于模线设计的有关技巧。     

热处理真空淬火工艺的应用

超高强度钢在普通空气炉和盐炉中热处理后，零件表面氧化脱碳相对比较厚，再返回机加车间精加工，其高强度给机加带来不便。通过改进热处理工艺，采用保护气氛炉或真空炉淬火，在满足机械性能要求的前提下，实现少、无氧化热处理。     

Accuracy analysis of GNSS-IR snow depth inversion algorithms

In recent years, with the continuous development of Global Navigation Satellite System (GNSS), it has been applied not only to navigation and positioning, but also to Earth surface environment monitoring. At present, when performing GNSS-IR (GNSS Interferometric Reflectometry) snow depth inversion, Lomb-Scargle Periodogram (LSP) spectrum analysis is mainly used to calculate the vertical height from the antenna phase center to the reflection surface. However, it has the problem of low identification of power spectrum analysis, which may lead to frequency leakage. Therefore, Fast Fourier Transform (FFT) spectrum analysis and Nonlinear Least Square Fitting (NLSF) are introduced to calculate the vertical height in this paper. The GNSS-IR snow depth inversion experiment is carried out by using the observation data of P351 station in PBO (Plate Boundary Observatory) network of the United States from 2013 to 2016. Three algorithms are used to invert the snow depth and compared with the actual snow depth provided by the station 490 in the SNOTEL network. The observations data of L1 and L2 bands are respectively used to find the optimal combination between different algorithms further to improve the accuracy of GNSS-IR snow depth inversion. For L1 band, different snow depths correspond to different optimal algorithms. When the snow depth is less than 0.8 m, the inversion accuracy of NLSF algorithm is the highest. When the snow depth is greater than 0.8 m, the inversion accuracy of FFT algorithm is higher. Therefore, according to the different snow depth, a combined algorithm of NLSF + FFT is proposed for GNSS-IR snow depth inversion. Compared with the traditional LSP algorithm, the inversion accuracy of the combined algorithm is improved by 10%. For L2 band data, the results show that the accuracy of snow depth inversion of various algorithms do not change with the variations of snow depth. Among the three single algorithms, the inversion accuracy of FFT algorithm is better than that of LSP and NLSF algorithms.     

某型飞机自动驾驶信号仿真系统设计与实现

自动驾驶信号仿真系统能够模拟某型教练机进行自动驾驶操作时所需要的动态信号。解决飞机地面试验时无真实动态的飞机攻角、高度、马赫数等大气机数据以及飞机姿态角、升降速度等惯导数据信息的问题。本文主要介绍某型教练机自动驾驶信号仿真系统的设计与实现方法。