A Novel Coupled State/Input/Parameter Identification Method for Linear Structural Systems

Shock and vibration

Lin Li^2¹  Zhimin Wan^1,2²  Ting Wang^3³ 

[1]School of Mechanical Engineering, Nantong Vocational University, Qingnian Middle Road No. 89, Nantong, China^3

[2]School of Vehicle and Transportation Engineering, Nantong Vocational University, Qingnian Middle Road No. 89, Nantong, China^1

[3]State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China^2

DOI  :  10.1155/2018/7691721

学科分类：力学，机械学

来源: Hindawi Publishing Corporation

【 摘 要 】

In many engineering applications, unknown states, inputs, and parameters exist in the structures. However, most methods require one or two of these variables to be known in order to identify the other(s). Recently, the authors have proposed a method called EGDF for coupled state/input/parameter identification for nonlinear system in state space. However, the EGDF method based solely on acceleration measurements is found to be unstable, which can cause the drift of the identified inputs and displacements. Although some regularization methods can be adopted for solving the problem, they are not suitable for joint input-state identification in real time. In this paper, a strategy of data fusion of displacement and acceleration measurements is used to avoid the low-frequency drift in the identified inputs and structural displacements for linear structural systems. Two numerical examples about a plane truss and a single-stage isolation system are conducted to verify the effectiveness of the proposed modified EGDF algorithm.

【 授权许可】

CC BY