Piezoelectric-Magnetostrictive Vibration Absorbers: Modelling and Optimisation

Payam Soltani, Morteza Mohammadzaheri, Mojtaba Ghodsi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this research, a new type of hybrid vibration absorber termed as the Piezoelectric-Magnetostrictive Vibration Absorber (PMVA) is introduced. The mathematical governing equations are derived and the parametric receptance function of the host strucutre is developed. The h∞ optimisation is employed to tune the resonating shunt circuits, attached to the piezoelectric and magnetostrictive elements of the absorber using the equal-peak method. An improved dynamic coupling between the PMVA and the host structure is achieved. The performance enhancement is confirmed by the numerical results, demonstrating that the performance of the introduced PMVA could be enhanced by at least 19% in passive vibration control of the host structure compared to that of typical piezoelectric or magnetostrictive vibration absorbers. The optimum parameters of the shunt circuits at different coupling conditions are presented, which can be used for further applications of this new type of absorber.

Original languageEnglish
Title of host publicationICAC 2023 - 28th International Conference on Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9798350335859
ISBN (Print)9798350335859
DOIs
Publication statusPublished - Aug 30 2023
Event28th International Conference on Automation and Computing, ICAC 2023 - Birmingham, United Kingdom
Duration: Aug 30 2023Sept 1 2023

Publication series

NameICAC 2023 - 28th International Conference on Automation and Computing

Conference

Conference28th International Conference on Automation and Computing, ICAC 2023
Country/TerritoryUnited Kingdom
CityBirmingham
Period8/30/239/1/23

Keywords

  • hoptimisation
  • Magnetostrictive Absorbers
  • Piezoelectric Absorbers
  • Vibration Absorbers
  • h∞optimisation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

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