用结构化非线性最小范数法识别包装系统模态参数  

Modal Parameters Identification of Packaging System Using Structured Nonlinear Total Least Norm Method

作　　者：朱大鹏[1] 张志昆[1] 

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070

出　　处：《兰州交通大学学报》2009年第6期112-114,共3页Journal of Lanzhou Jiaotong University

基　　金：甘肃省自然科学基金B类项目(2008GS02622);甘肃省科技厅科技支撑计划项目(0804GKCA037)

摘　　要：考虑到包装系统的复杂性,可将包装件建模为多模态系统.对结构化非线性最小范数法进行改进,推导出了识别系统自由响应的零点和留数的迭代法,该方法采用以Prony方法识别出的系统的零点和留数为迭代起点,模拟结果表明:该方法与Prony方法相比具有更好的精确性,为准确识别包装系统各模态的参数打下基础.The package can be modeled as a multi-modal system if the complexity of the packaging system is taken into account.The structured nonlinear total least norm method is modified and an iterative method is deduced to identify the zeros and residues of the system free response data.The system zeros and residues identified by Prony method are used as the initial point.The simulation result indicates the structured nonlinear total least norm method can identify the zeros and residues of the free response data more accurately eomparing with the Prony method, and provides the base for the accurate identification of the modal parameters.

关 键 词：包装系统 多模态 参数识别 结构化非线性最小范数法 

分 类 号：TB485.3[一般工业技术—包装工程]