Virtual output feedback in parameter estimation

作     者：Bernal, Dionisio 

作者机构：Northeastern Univ Ctr Digital Signal Proc Civil & Environm Engn Boston MA 02115 USA 

出 版 物：《MECHANICAL SYSTEMS AND SIGNAL PROCESSING》 (机械系统与信号处理)

年 卷 期：2020年第142卷

页      面：106786-106786页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 

基　　金：US National Science Foundation Directorate For Engineering Div Of Civil, Mechanical, & Manufact Inn Funding Source: National Science Foundation 

主　　题：Control Output feedback Parameter estimation 

摘      要：The use of poles as targets for estimating parameters of linear systems is attractive from a variance perspective but the limitations are well-known, namely: the number of poles that can be identified is often smaller than the parameters to be estimated and their sensitivity can be small. One way to mitigate these limitations, initially put forth about 20 years ago, is to collect data while the structure operates in closed-loop. In this manner, poles for different gains can be aggregated, and some control over the sensitivities can be realized by gain design. This paper shows that closed-loop interrogation can be realized without physical feedback by signal processing supported on the relation between open-loop and closed-loop transfer matrices for a given gain. Guidelines for closed-loop pole locations that provide robustness are derived and two numerical examples that exemplify the scheme in a model updating framework are included. (C) 2020 Elsevier Ltd. All rights reserved.