星载微波辐射计的天线方向图校正和亮温计算

在简要介绍星载微波辐射计周期定标技术基础上,着重分析了外部周期定标技术,采用天线方向图校正技术进行了误差分析,对“冷”、“热”定标源进行了计算,提出了提高星载微波辐计定标精度的措施。     

光学铅垂对点锥面理论与垂准仪室内检校法

提出基于空间解析几何与立体几何的光学铅锤对点锥面理论并由此给出了普通型垂准仪的一种室内简便检校法.     

旋转火箭的姿态控制设计方法

介绍了非对称旋转火箭姿态控制的方案、原理。并且利用角速度控制和最佳程序控制，分析了大滚动角消旋的稳定性。数值仿真结果显示了所设计的控制算法的有效性。     

检波器谐振频率数学模型及其频响误差的修正

峰值检波器的频响误差在高频段主要是由分布参数产生的高频谐振误差。本文利用实测数据建立了检波器谐振频率数学模型,根据模型的预测值对检波器和了频响误差修正。计量检定表明修正后的频响误差大大减小。     

线切割图形自动编程系统设计

本文介绍了由AUTOCAD绘制加工零件图形生成dxf文件 ,经系统工艺干预后 ,自动生成线切割加工程序 ( 3B格式 )的一种自动编程系统     

矢量控制的无刷交流电动机调速系统仿真

本文介绍交流无刷电动机调速系统的仿真方法,知仿真数学模型的建立,速度调节系统控制策略的确定及仿真ＳＩＭＵＬＩＮＫ实现等。本文也给出了一个基于仿真结果设计的实际调速系统。     

Vibration Fatigue Probabilistic Life Prediction Model and Method for Blade

Vibration fatigue is one of the main failure modes of blade.The vibration fatigue life of blade is scattered caused by manufacture error,material property dispersion and external excitation randomness.A new vibration fatigue probabilistic life prediction model(VFPLPM)and a prediction method are proposed in this paper.Firstly,as one-dimensional volumetric method(ODVM)only considers the principle calculation direction,a three-dimensional space vector volumetric method(TSVVM)is proposed to improve fatigue life prediction accuracy for actual threedimensional engineering structure.Secondly,based on the two volumetric methods(ODVM and TSVVM),the material C-P-S-N fatigue curve model(CFCM)and the maximum entropy quantile function model(MEQFM),VFPLPM is established to predict the vibration fatigue probabilistic life of blade.The VFPLPM is combined with maximum stress method(MSM),ODVM and TSVVM to estimate vibration fatigue probabilistic life of blade simulator by finite element simulation,and is verified by vibration fatigue test.The results show that all of the three methods can predict the vibration fatigue probabilistic life of blade simulator well.VFPLPM TSVVM method has the highest computational accuracy for considering stress gradient effect not only in the principle calculation direction but also in other space vector directions.     

SGCMG系统运动奇异机理及研究进展

介绍了单框架控制力矩陀螺（ＳＧＣＭＧ）系统的运动奇异机理,并对当前运动奇异的研究概况进行了综述;通过分析可以知道,对于ＳＧＣＭＧ系统奇异机理的认识,现在还处于一个较浅的层次上,还远达不到ＳＧＣＭＧ系统非奇异操纵的需要;同时指出,ＳＧＣＭＧ系统奇点的分布及可回避性判别将是未来ＳＧＣＭＧ系统运动奇异机理研究的主要方向。     

Identification of reduced-order model for an aeroelastic system from flutter test data

Recently, flutter active control using linear parameter varying (LPV) framework has attracted a lot of attention. LPV control synthesis usually generates controllers that are at least of the same order as the aeroelastic models. Therefore, the reduced-order model is required by syn-thesis for avoidance of large computation cost and high-order controller. This paper proposes a new procedure for generation of accurate reduced-order linear time-invariant (LTI) models by using sys-tem identification from flutter testing data. The proposed approach is in two steps. The well-known poly-reference least squares complex frequency (p-LSCF) algorithm is firstly employed for modal parameter identification from frequency response measurement. After parameter identification, the dominant physical modes are determined by clear stabilization diagrams and clustering tech-nique. In the second step, with prior knowledge of physical poles, the improved frequency-domain maximum likelihood (ML) estimator is presented for building accurate reduced-order model. Before ML estimation, an improved subspace identification considering the poles constraint is also proposed for initializing the iterative procedure. Finally, the performance of the proposed procedure is validated by real flight flutter test data.