Spatial filter design for observation spillover suppression (filter design using the measures of modal observability)

Yuichi Matsumura, Naoki Hosoya

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents generalized design method of a spatial filter for suppressing modal observation spillover. Using singular value decomposition of a modal matrix of the selected modes which is to be suppressed, filter design and optimal sensor placement can be simulteneously computed. This design method is independent on both the number of target modes and the number of sensors. Then the measures of modal observability is developed as criteria for designing the optimal filter in a engineering sense. These measures are related to the amplification rate of each modal coordinate, and hence are useful to select optimal sensor placement for desired filtering. This paper numerically demonstrates the suitability of the proposed technique through its application to a modal filtering of a cantilever beam from a small number of sensor outputs.

Original languageEnglish
Pages (from-to)3480-3485
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume72
Issue number11
Publication statusPublished - 2006 Nov
Externally publishedYes

Fingerprint

Observability
Sensors
Cantilever beams
Singular value decomposition
Amplification

Keywords

  • Filter
  • Measurement
  • Modal analysis
  • Modal filter
  • Obsevability

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

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AB - This paper presents generalized design method of a spatial filter for suppressing modal observation spillover. Using singular value decomposition of a modal matrix of the selected modes which is to be suppressed, filter design and optimal sensor placement can be simulteneously computed. This design method is independent on both the number of target modes and the number of sensors. Then the measures of modal observability is developed as criteria for designing the optimal filter in a engineering sense. These measures are related to the amplification rate of each modal coordinate, and hence are useful to select optimal sensor placement for desired filtering. This paper numerically demonstrates the suitability of the proposed technique through its application to a modal filtering of a cantilever beam from a small number of sensor outputs.

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