考虑胶层蠕变行为的胶接结构有限元分析

本文考虑胶层材料的蠕变行为，采用模拟岩层纹理单元的有限元法，分析工程中使用的典型胶接结构的应力场和位移场。数值结果表明，胶层蠕变行为对胶接结构位移和应力场均有较大影响     

CBERS-1卫星IRMSS数据在城市绿地系统规划的应用

文章以CBERS -1卫星长沙幅IRMSS数据作为基础资料 ,利用PCI遥感图像处理软件对数据进行了预处理和应用实验。实验证明CBERS -1卫星的IRMSS数据图像信息丰富 ,可解译程度较高 ,能满足大中城市中等比例尺城市绿地系统规划遥感调查的要求     

称重传感器的一种新的滞后补偿方法(英文)

通过对电阻应变式称重传感器在各种加载卸载情况下的滞后特性的分析 ,建立了其相应的数学模型 ,并初步探讨了一种可以通过程序在仪表中对传感器的重要指标—滞后进行补偿从而提高整个传感器的精度的方法。最后 ,对以上方法进行了验证性试验 ,证明了补偿方法的可行性。     

加入WTO对中国航空货物运输的影响分析

针对中国加入WTO对航空货物运输的影响，从溢出效应、竞争、辅助市场的开放、市场准入、管理、WTO规则和机制6个方面进行了分析。强调要全面和发展地看待WTO给航空货物运输带来的影响，以及要更加注重掌握WTO的规则和机制，才能更好地理解WTO对航空货物运输企业经营环境和约束条件的影响。     

Observer-type Kalman innovation filter for uncertain linear systems

An observer-type of Kalman innovation filtering algorithm to find a practically implementable "best" Kalman filter, and such an algorithm based on the evolutionary programming (EP) optima-search technique, are proposed, for linear discrete-time systems with time-invariant unknown-but-hounded plant and noise uncertainties. The worst-case parameter set from the stochastic uncertain system represented by the interval form with respect to the implemented "best" filter is also found in this work for demonstrating the effectiveness of the proposed filtering scheme. The new EP-based algorithm utilizes the global optima-searching capability of EP to find the optimal Kalman filter and state estimates at every iteration, which include both the best possible worst case Interval and the optimal nominal trajectory of the Kalman filtering estimates of the system state vectors. Simulation results are included to show that the new algorithm yields more accurate estimates and is less conservative as compared with other related robust filtering schemes     

行业标准化工作改革的探讨

通过对航空企业标准化工作现状的分析 ,并结合航空工业标准化的特点 ,提出了航空工业标准化工作在改革中应予以特别关注的几个问题。     

阻尼材料在飞机炮振减振上的应用

阻尼材料在飞机结构上的应用是一个新课题。在飞机炮舱区应用新型阻尼材料,组成一个全新的阻尼结构系统来吸收由航炮射击时产生的冲击能量,以实现减振的设计目的,进而改善其炮击的振动环境。通过理论计算和地面试验实测,证明了应用新型阻尼材料可使炮舱区的动应力下降近30％。     

400kN振动台承力钢架的研制

文章中介绍的400kN 承力钢架是用来作船罩联合试验的承力机构,具有结构庞大、复杂的特点,对自振频率有一定要求,文章介绍了该设备研制过程中的设计、计算、加工及安装工艺技术等。     

Implementation of a novel matrix converter PMSM drive

This paper proposes a neural-network current-regulated switching strategy and an intelligent controller for a matrix converter permanent magnet synchronous motor (PMSM) drive system. By using this new switching strategy, the current harmonics of the system are effectively reduced. In addition, by using the intelligent controller, position control of the drive system can be achieved and an adjustable speed range from 1 r/min to 1500 r/min can be obtained. All the current-loop, speed-loop, and position-loop control algorithms are implemented by a 32-bit TMS320C40 digital signal processor. Several experimental results are shown to validate the theoretical analysis