Iterative pole-zero model updating using multiple frequency response functions

M. Dorosti, R.H.B. Fey, M.F. Heertjes, M.M.J. van de Wal, H. Nijmeijer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

For accurate positioning of motion systems having an accurate yet low-order dynamic model from actuators to sensors and to unmeasured performance variables is crucial. A (reduced) Finite Element (FE) dynamic model may be a
good candidate. However, a FE model in practice has limited accuracy in describing the dynamic behavior of the system for nano positioning performance. This can be either due to the simplifications in the FE modeling or due to system variations. To improve the dynamic properties of the (reduced) FE model toward dynamic properties of the real system, an Iterative Pole-Zero (IPZ) model updating procedure that updates poles and zeros of a single Frequency Response Function (FRF) was recently proposed. Using more FRFs from different actuator/sensor configurations helps to better improve the dynamic properties of the (reduced) FE model. In this paper, an extension of IPZ model updating to use multiple FRF measurements is presented. The proposed method is verified using a simulated experiment of a pinned-sliding beam structure.
Original languageEnglish
Title of host publicationDynamics of Civil Structures, Volume 2
Subtitle of host publicationProceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017
EditorsJ. Caicedo, S. Pakzad
Place of PublicationDordrecht
PublisherSpringer
Pages65-70
Number of pages6
ISBN (Electronic)978-3-319-54777-0
ISBN (Print)978-3-319-54776-3
DOIs
Publication statusPublished - 2017
Event35th IMAC, aConference and Exposition on Structural Dynamics - Hyatt Regency Orange County, Garden Grove, United States
Duration: 30 Jan 20172 Feb 2017

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Publisher Society for Experimental Mechanics (SEM)
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Conference

Conference35th IMAC, aConference and Exposition on Structural Dynamics
Abbreviated titleIMAC XXXV
CountryUnited States
CityGarden Grove
Period30/01/172/02/17

Keywords

  • FE modeling
  • Least square optimization
  • Model updating
  • Unmeasured performance variables

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