噪声与振动控制2017，Vol.37Issue(4)：52-56,5.DOI:10.3969/j.issn.1006-1355.2017.04.011
修正的ARMA模型在微悬臂系统辨识中的应用
Application of Modified ARMA Model in System Identification for Micro-cantilevers
谭伟良1
作者信息
- 1. 中国科学院武汉物理与数学研究所 波谱与原子分子物理国家重点实验室,武汉 430071;中国科学院大学,北京 100049
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摘要
Abstract
Micro-cantilever is a kind of micromechanical device which is widely used in the research of force microscope and optomechanics. In order to learn the modal information of micro-cantilevers, the ARMA model is employed for system identification and modal parameters identification of the micro-cantilevers. Since observing noise may decrease the identification accuracy of the time series model, the method of converting the ARMA model with observed noise to the ARMA model without observed noise is studied. After micro-cantilever's ARMA model is obtained, this model is converted to a transfer function of the continual system. Then, the micro-cantilever's modal parameters are calculated from the transfer function. In order to decrease the time delay of the micro-cantilever response to external force, a recovery filter is constructed on the basis of the model obtained by system identification. The applied force signal can be obtained by inputting displacement signal into the recovery filter. Simulation result and experimental result verify the effectiveness of the system identification, the modal parameter identification and the signal recovery method presented in this paper.关键词
振动与波/微悬臂/ARMA模型/系统辨识/模态参数识别/复原滤波器/信号复原Key words
vibration and wave/micro-cantilever/ARMA model/system identification/modal parameters identification/recovery filter/signal recovery分类
数理科学引用本文复制引用
谭伟良..修正的ARMA模型在微悬臂系统辨识中的应用[J].噪声与振动控制,2017,37(4):52-56,5.
