基于区间摄动和双层模糊聚类的模态参数自动识别

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摘要传统的随机子空间参数识别方法难以确定合理的系统阶次，参数识别结果易受到环境噪声的干扰。稳定图方法在识别结构参数时依赖于主观判断，不能自动识别。针对以上问题，本文提出区间摄动和双层模糊聚类算法对基于随机子空间识别得到的模态参数进行自适应辨别。以高阶系统识别的固有频率为中心频率进行±2%的摄动，并将该摄动区间内识别所得的各阶频率作为同一阶频率，结合稳定图法对固有频率进行自动识别；采用双层模糊聚类算法对识别离散性较大的阻尼比进行聚类，结合稳定图法自动识别阻尼比。基于岸桥监测数据的工程实例模态参数识别结果表明，该方法能够有效剔除虚假模态，提高参数识别效率，固有频率和阻尼比的自动识别效果较好。

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	秦仙蓉
	刘嘉辉
	余传强
	王玉龙
	张氢
	孙远韬

关键词 ：随机子空间法, 稳定图, 区间摄动, 模糊聚类, 参数识别

Abstract：The traditional stochastic subspace identification method is difficult to determine the reasonable order of system, the results of parametric identification are easy to be disturbed by environmental noise.The stability diagram method relying on subjective judgment can not automatically identify structural parameters.Here, aiming at above problems, interval perturbation and double-layer fuzzy clustering algorithm were proposed to identify modal parameters automatically based on stochastic subspace identification.A natural frequency identified of a high-order system was taken as the central frequency to do perturbation by ±2%, and natural frequencies identified within this perturbation interval were regarded as the same order frequency.Natural frequencies were automatically identified by combining with the stability diagram method.The double-layer fuzzy clustering algorithm was used to cluster damping ratios with larger discreteness, and damping ratios were automatically identified by combining with the stability diagram method.The results of modal parametric identification of engineering examples based on monitoring data of quay crane showed that the proposed method can effectively eliminate false modes, improve the efficiency of parametric identification, and achieve better automatic identification of natural frequencies and damping ratios.

Key words： stochastic subspace method stability diagram interval perturbation fuzzy clustering parametric identification

收稿日期: 2019-06-19 出版日期: 2020-11-28

引用本文:

秦仙蓉,刘嘉辉,余传强,王玉龙,张氢,孙远韬. 基于区间摄动和双层模糊聚类的模态参数自动识别[J]. 振动与冲击, 2020, 39(23): 122-127.
QIN Xianrong, LIU Jiahui, YU Chuanqiang, WANG Yulong, ZHANG Qing, SUN Yuantao. Automatic identification of modal parameters based on interval perturbation and double-layer fuzzy clustering. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(23): 122-127.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I23/122

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