Frequency Response Function Identification of LPV systems: a global approach with application to mechanical systems

Robin de Rozario, Tom Oomen

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)
4 Downloads (Pure)

Abstract

Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates analysis, controller design and parametric modeling of a large class systems, including position-dependent mechanical systems. The aim of this paper is to enable FRF identification of LPV systems using global experiments. This is achieved by developing an appropriate definition of the FRF for input-output LPV systems and by developing a method to compute a statistically optimal estimator of the FRF, which reduces to the Empirical Transfer Function Estimate (ETFE) for frozen scheduling. The developed method is successfully used to estimate a position-dependent FRF of a wide-format printer, confirming the potential of the approach.

Original languageEnglish
Pages (from-to)108-113
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number15
DOIs
Publication statusPublished - 8 Oct 2018
Event18th IFAC Symposium on System Identification (SYSID 2018) - Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018

Keywords

  • Frequency-response methods
  • Linear Parameter-Varying Systems

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