椭球凸集参数域结构模态参数时域辨识仿真  

Time Domain Identification Simulation of Modal Parameters for Ellipsoidal Convex Set Parameter Domain Structure

作　　者：鲁光男[1] LU Guang-nan(College of Computer Science and Technology Changchun University,Changchun Jilin 130022,China)

机构地区：[1]长春大学计算机科学技术学院,吉林长春130022

出　　处：《计算机仿真》2020年第10期389-392,402,共5页Computer Simulation

基　　金：吉林省科学技术厅项目(项目号:20170204033GX)。

摘　　要：由于传统的模态参数时域辨识方法中存在诸多不足,设计并提出椭球凸集参数域结构模态参数时域辨识方法。通过核函数的递推进行思想更新,组建基于核函数的椭球凸集参数域结构模态参数时域辨识模型。由于遗传算法的全局寻优特性,且具有极强的抗噪声能力,通过遗传算法对椭球凸集参数域结构模态参数时域辨识模型进行优化,实现椭球凸集参数域结构模态参数时域辨识。仿真结果表明,所提方法具有较强的抗噪能力,且辨识精度较高。Due to many shortcomings in the traditional methods, this paper presented a method of time-domain identification of modal parameter for structure with ellipsoidal convex parameter domain. Through the recursion for kernel function, the idea was updated, and the model of time-domain identification of modal parameter for structure with ellipsoidal convex parameter domain based on the kernel function was built. Due to the global optimization of genetic algorithm and strong anti-noise ability, the genetic algorithm was used to optimize the model, and thus to completed the time-domain identification of modal parameter for structure with ellipsoidal convex parameter domain. Simulation results show that the proposed method has strong anti-noise ability and high identification accuracy.

关 键 词：椭球凸集参数域结构 模态参数 时域辨识 环境激励 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]