首页 | 官方网站   微博 | 高级检索  
     

基于遗传算法的非线性迟滞系统参数识别
引用本文:李伟,王轲,朱德懋,吴菊林.基于遗传算法的非线性迟滞系统参数识别[J].振动与冲击,2000,19(1):8-11.
作者姓名:李伟  王轲  朱德懋  吴菊林
作者单位:1. 南京航空航天大学振动工程研究所,南京,210026
2. 康佳集团股份有限公司技术开发中心,深圳,518053
摘    要:研究了非线性迟滞系统的参数识别问题。在识别过程中,将非线性迟滞系统的记忆复力用双折线模型来描述,并由此模型写出非线性迟滞系统的参数识别方程。利用相干函数,把关于模型参数非线性的参数识别方程转化线性参数识别前提下的非线性函数优化问题。

关 键 词:非线性  迟滞系统  参数识别  遗传算法  减振器

PARAMETER IDENTIFICATION OF NONLINEAR HYSTERETIC SYSTEMS BASED ON GENETIC ALGORITHM
Li Wei,Wang Ke,Zhu Demao,Wu Julin.PARAMETER IDENTIFICATION OF NONLINEAR HYSTERETIC SYSTEMS BASED ON GENETIC ALGORITHM[J].Journal of Vibration and Shock,2000,19(1):8-11.
Authors:Li Wei  Wang Ke  Zhu Demao  Wu Julin
Abstract:The parameter identification of nonlinear hysteretic systems is dealt with in the paper.In the process of identification,a bilinear model,based on which the identification equations are obtained,is used to describe the memorial restoring force of the nonlinear hysteretic system.The parameter identification equations which are related to model parameter nonlinearity are simplified into an optimal problem of nonlinear function.The crossover operation and mutation operation of decimal code genetic algorithm and its application in the optimal problem of nonlinear function are discussed in detail.The computer simulation and practical experimental modeling of a steel net vibration isolator show that the method is simple,effective,and of high precision.
Keywords:nonlinearity  hysteretic systems  parameter identification  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号