Tune optimization of the third generation light source storage ring based on Frequency Map Analysis

Tune optimization is necessary to optimize the nonlinearity of the third generation light source storage ring. In this paper we summarize the common strategies for choosing a tune and discuss tune op-timization. Frequency Map Analysis (FMA) is applied as a tune scanning tool to reveal information about nonlinear resonances and guide the tune optimization. The Shanghai Synchrotron Radiation Facility (SSRF) storage ring is taken as a test lattice, and the optimum solutions are presented in this paper. Moreover, the third order regular structural resonances excited by sextupoles are particularly investigated, and it is found that these resonances distort the tune shifts with amplitude and show a stop-band like the linear structural resonances.     

基于应变模态和稀疏贝叶斯学习的网架结构损伤识别

传统稀疏贝叶斯学习算法进行损伤识别时需要对每个单元进行刚度损伤系数的迭代更新,当结构单元众多时,存在计算效率低和对振型的完备性要求高等问题.本文提出了损伤识别两步法,首先利用应变模态差指标进行疑似损伤单元的判断;接着以单元刚度损伤系数为目标参数,建立结构损伤识别的多层次稀疏贝叶斯学习模型,利用稀疏贝叶斯学习算法进一步识...     

带缺陷结构的二维磁性光子晶体的数值模拟分析

利用频域有限差分方法分析了多种带缺陷结构二维磁性光子晶体（二重对称,四重对称和六重对称结构）的法拉第旋转角与椭圆率的变化特性.结果表明：在这些结构中,光波均被局域在中心缺陷处;同时,对于具有四重对称轴结构的材料,在其法拉第旋转角增加的同时,出射光波的椭圆率没有明显的增加;但对于不具有四重对称轴结构的材料,其法拉第旋转角增加的同时,出射光波的椭圆率也在增加.因此,只有在具有四重对称轴结构的二维磁性光子晶体中引入缺陷,才能很好地抑制光波偏振态的变化.这种带缺陷的二维磁性光子晶体结构有可能用于制作磁性光子晶体光 关键词： 磁光效应 二维磁性光子晶体 缺陷 频域有限差分法     

L12型铝合金的结构、弹性和电子性质的第一性原理研究

运用第一性原理方法研究了L12型铝合金相Al3Sc和Al3Zr的晶体结构、电子结构和弹性.结合能和形成能的计算表明,两种合金具有较强的合金化能力,且Al3Zr较Al3Sc具有更强的结构稳定性.电子结构分析表明,费米能级以下较多的价电子数决定了Al3Zr具有较强的结构稳定性.计算并分析比较了两种合金相的单晶弹性常数(C11,C12和C44)以及多晶弹性模量(体弹性模量B、剪切模量G、杨氏模量Y、泊松比ν和各向异性因子A).通过对比实验和其他理论计算结果,进一步分析和解释了两种合金相的力学性质.     

基于实时操作系统的光电稳定自适应模糊PI复合控制方法研究

针对经典稳定控制理论存在超调与快速性之间难以调和的矛盾,建立了稳定控制系统数学模型,采用自适应模糊实现控制的快速性,用PI保证系统的稳态精度,以误差为模糊控制的输入,设计一种实用的自适应模糊和PI复合控制系统,并在基于VxWorks实时操作系统的数字平台上得以实现.仿真和试验表明:设计的新型自适应模糊PI复合控制系统超调量为0,调节时间约8 ms,带宽约29 Hz.     

基于模糊理论的多传感器数据融合测量

 针对多传感器数据融合过程中,各传感器可靠度估计困难的问题和如何对各传感器测量数据进行融合,提出了一种基于模糊理论的多传感器数据融合方法并研究了它在测量中的应用过程。该方法首先利用容许函数计算各传感器测量数据间的一致性以剔除系统误差数据,然后将测量数据进行模糊化,最后用模糊贴近度获得多传感器测量的数据融合结果。该方法计算简单,客观地反映了各传感器测量数据的一致性和可靠程度。测量应用实例验证了其在工程中的可行性,体现了稳定性和可靠性高的传感器在测量数据融合中的“优越性”,运算过程简洁、快速、有效,便于实时测量操作。     

Structural Equation and Mei Conserved Quantity of Mei Symmetry for Appell Equations in Holonomic Systems with Unilateral Constraints

Structural equation and Mei conserved quantity of Mei symmetry for Appell equations in holonomic systems with unilateral constraints are investigated. Appell equations and differential equations of motion for holonomie mechanic systems with unilateral constraints axe established. The definition and the criterion of Mei symmetry for Appell equations in holonomic systems with unilateral constraints under the infinitesimal transformations of groups axe also given. The expressions of the structural equation and Mei conserved quantity of Mei symmetry for Appell equations in holonomic systems with unilateral constraints expressed by Appell functions are obtained. An example is given to illustrate the application of the results.     

截集形式的模糊粗糙集及其性质

用模糊集的截集构造了模糊集的粗糙集,给出了模糊粗糙集的更加严格的数学定义,证明了与文[1]中的等价性,并用新的定义给出模糊粗糙集的相应性质.     

确定模糊评价综合因素权重的一个方法

介绍引入三角模糊数判断矩阵以及将其转化为非模糊数判断矩阵的方法和步骤,说明它在确定模糊综合评价的因素权重时的作用和应用.最后进行实例分析.     

Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva

To extract fault features of rolling bearing vibration signals precisely, a fault diagnosis method based on parameter optimized multi-scale permutation entropy (MPE) and Gath-Geva (GG) clustering is proposed. The method can select the important parameters of MPE method adaptively, overcome the disadvantages of fixed MPE parameters and greatly improve the accuracy of fault identification. Firstly, aiming at the problem of parameter determination and considering the interaction among parameters comprehensively of MPE, taking skewness of MPE as fitness function, the time series length and embedding dimension were optimized respectively by particle swarm optimization (PSO) algorithm. Then the fault features of rolling bearing were extracted by parameter optimized MPE and the standard clustering centers is obtained with GG clustering. Finally, the samples are clustered with the Euclid nearness degree to obtain recognition rate. The validity of the parameter optimization is proved by calculating the partition coefficient and average fuzzy entropy. Compared with unoptimized MPE, the propose method has a higher fault recognition rate.