首页    期刊浏览 2025年06月18日 星期三
登录注册

文章基本信息

  • 标题:Structural damping identification using a recursive Kalman filter
  • 本地全文:下载
  • 作者:Bruna Tavares Vieira da Silva ; Alvaro Manoel de Souza Soares ; Joao Bosco Goncalves
  • 期刊名称:Scientific Research and Essays
  • 印刷版ISSN:1992-2248
  • 出版年度:2015
  • 卷号:10
  • 期号:14
  • 页码:440-448
  • DOI:10.5897/SRE2015.6250
  • 语种:English
  • 出版社:Academic Journals
  • 摘要:Much research has been done in developing techniques for identifying the structural damping of physical systems. Such techniques are always accompanied by the development of an analytical model of the ideal system and its comparison with experimental data obtained in laboratory. Also, flexible systems are difficult to be modeled, but the authors can use an approximation, supposing that a flexible system, composed by a cantilever beam, can be similar to a massa-spring-damper system. In this work, are shown a recursive technique for identifying the structural damping of a physical system and its applications. The authors identified the structural damping of a system consisting of a flexible beam clamped where the authors use a mass-spring-damper model to represent it. The excitation of the system was carried out using an impact hammer in order to use such data at the input of the analytical model obtained for the system. For the flexible system, the authors implemented the methodology of recursive Kalman’s filter, in order to identify the flexibility and damping coefficients. The results show that the technique has been successfully applied once the error obtained by comparing the experimental and analytical data is quite small.
  • 关键词:Identification; modeling; structural damp; Kalman filter
国家哲学社会科学文献中心版权所有