VARIABLE STEP SIZE FXLMS ALGORITHM BASED ON NATURAL LOGARITHM FUNCTION FOR PIEZOELECTRIC ACTIVE VIBRATION CONTROL

Ximing Zhu, Wei Wang, Weiguang Li, Zhichun Yang

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

Abstract

Filtered-x least mean square (FxLMS) algorithm is widely used in the field of active vibration control (AVC) because of its small computation and easy implementation. Meanwhile, structural vibration can be suppressed quickly due to its strong adaptability and fast convergence speed. However, there is a contradiction between the steady-state error and the convergence rate of the fixed-step FxLMS algorithm. In this paper, a natural logarithm variable-Step FxLMS (NLVSFxLMS) logarithm is proposed by logarithm function and constructs a nonlinear function between the algorithm step μ and the error signal e(n). In addition, the AVC simulation and experiment of cantilever beam are carried out using piezoelectric macro fiber composite (MFC).Simulation and experimental results show that compared with the traditional FxLMS algorithm and some existing variable step FxLMS (VSSFxLMS) algorithms, NLVSFxLMS algorithm has smaller steady-state error and large step in the beginning.

Original languageEnglish
Title of host publicationProceedings of the 29th International Congress on Sound and Vibration, ICSV 2023
EditorsEleonora Carletti
PublisherSociety of Acoustics
ISBN (Electronic)9788011034238
StatePublished - 2023
Event29th International Congress on Sound and Vibration, ICSV 2023 - Prague, Czech Republic
Duration: 9 Jul 202313 Jul 2023

Publication series

NameProceedings of the International Congress on Sound and Vibration
ISSN (Electronic)2329-3675

Conference

Conference29th International Congress on Sound and Vibration, ICSV 2023
Country/TerritoryCzech Republic
CityPrague
Period9/07/2313/07/23

Keywords

  • Active vibration control
  • Piezoelectric macro fiber composite
  • Variable step size FxLMS

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