| 基于随机子空间方法的模态参数识别研究 |
| |
| 引用本文： | 陈爱林,张令弥.基于随机子空间方法的模态参数识别研究[J].中国航空学报,2001,14(4). |
| |
| 作者姓名： | 陈爱林 张令弥 |
| |
| 作者单位： | Faculty 103，Nanjing University of Aeronautics and Astronautics，Nanjing\ 210016，China |
| |
| 基金项目： | Nationalnaturalsciencefoundation(No .5 0 0 75 0 38)，aeronauticalsciencefoundation(No .5 0 0I5 2 0 74) |
| |
| 摘 要： | 随机子空间识别 (StochasticSubspaceIdentification ,以下简称SSI)方法是一种新的时域识别方法 ,该方法仅用自然响应数据 ,通过QR分解和SVD分解等一套正交投影算法识别系统模型。研究了SSI方法在模态参数识别领域的应用。采用NASAmini mast模型 ,仿真分析了SSI算法控制参数选择技巧 ,论证了其参数识别精度。通过处理日本CFT大楼实测数据 ,研究了SSI方法识别真实结构模态参数的问题。应用Kalman滤波器 ,测量响应可以分解为模态空间响应 ,将信号功率谱分解成多条单自由度系统功率谱。
|
| 关 键 词： | 系统识别 随机子空间算法 模态参数识别 Kalman滤波器 |
National natural science foundation(No.50075038); aeronautical science foundation(No.500I52074) |
| |
| CHEN Ai-lin,ZHANG Ling-mi.National natural science foundation(No.50075038); aeronautical science foundation(No.500I52074)[J].Chinese Journal of Aeronautics,2001,14(4). |
| |
| Authors: | CHEN Ai-lin ZHANG Ling-mi |
| |
| Abstract: | Stochastic Subspace Identification (SSI) is a novel time domain identification method, which directly uses operational response data to identify the system model by linear algebraic manipulations such as QR factorization and Singular Value Decomposition (SVD). This paper deals with SSI and its applications for structural modal identification. The NASA mini mast model is used for simulations to illustrate how to select input parameters, and to demonstrate identification precision. A real building structure, the Heritage Court Tower (HCT) in Canada is analyzed. From the simulation and test researches, the conclusions can be made to instruct how to identify structural modal parameters using SSI method. |
| |
| Keywords: | system identification stochastic subspace modal analysis Kalman filter |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
