Integration of identification and vibration control of time-varying structures subject to unknown seismic ground excitation

作     者：Lei, Ying Lu, Jubin Huang, Jinshan 

作者机构：Xiamen Univ Sch Architecture & Civil Engn Xiamen 361005 Peoples R China 

出 版 物：《JOURNAL OF VIBRATION AND CONTROL》 (振动与控制杂志)

年 卷 期：2020年第26卷第15-16期

页      面：1330-1344页

核心收录：

学科分类：07[理学] 0802[工学-机械工程] 0801[工学-力学（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China [51838006  51678509] 

主　　题：Integration algorithm time-varying system structural identification Kalman filter with unknown input absolute response instantaneous optimal control 

摘      要：The synthesis of structural health monitoring and vibration control is important in order to provide facilities for constructing smart structures. In recent years, some techniques have been developed to integrate structural identification and optimal vibration control. However, it is still challenging to integrate the identification and vibration control of time-varying structures subject to unknown earthquake excitation. The main difficulties are that structural dynamic responses collected by a simple harmonic motion system are absolute responses under unknown earthquake ground motion while previous identification approaches for unknown external excitation are not applicable for this situation and the need of an efficient algorithm to accurately track the various scenarios of time-varying structures with inexpensive computation to ensure the real-time performance requested by structural vibration control. In this paper, a novel algorithm is presented, in which structural time-varying parameters are treated as virtual unknown inputs to the underlying time-invariant structure, a generalized Kalman filter with unknown inputs is proposed for joint identification of joint structural state, unknown earthquake excitation and virtual unknown inputs with only partially measured structural absolute responses, and the identification results are integrated in real-time with the instantaneous optimal control scheme to reach the goal of optimal semi-active control provided by magneto-rheological dampers. Some numerical examples of integrated identification and vibration control of various time-varying structures subject to unknown earthquake excitation are used to demonstrate the performances of the proposed algorithm.