部分加速度测量下结构恢复力与质量非参数化识别方法

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Abstract Identification of nonlinear structures using traditional extended Kalman filter (EKF) usually requires structure mass and the parametric model of restoring force are known.In this paper, to identify structural parameters, mass and nonlinear restoring force (NRF), a two-steps identification approach using limited acceleration response and nonparametric model was provided.Firstly, memory fading extended Kalman filter (MF-EKF) combining with the equivalent linear model was provided to identify the location of nonlinearities in order to improve calculation efficiency.Secondly, the unscented Kalman filter (UKF) combining with the double Chebyshev polynomial model was provided to identify the mass, structural parameters (stiffness，damping) and NRF.The feasibility of the proposed approach was illustrated via numerical simulation with a multi-degree-of-freedom (MDOF) structure equipped with a Shape Memory Alloy (SMA) damper.Finally, a dynamic experiment with a four-DOFs frame equipped with an SMA damper was designed to illustrate the feasibility of the method.

Key words： extended Kalman filter(EKF) memory fading (MF) unscented Kalman filter (UKF) double chebyshev polynomial model shape memory alloy (SMA) dampers nonlinear restoring force mass identification

Received: 11 October 2018 Published: 15 April 2020

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	Articles by authors
	DENG Baichuan1
	GUO Yurong1
	XU Bin2
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Cite this article:

DENG Baichuan1,GUO Yurong1,XU Bin2, et al. Nonparametric restoring force and mass identification approach using limited acceleration measurement[J]. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(8): 23-32.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2020/V39/I8/23

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