Linearization and optimal pid control of an electro-magnetic vibration absorber with a levitated auxiliary mass

Lyndon S. Stephens, Marc A. Timmerman

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

Abstract

Electromagnetic vibration absorbers (EMA's) act in analogy to timed bandstop filters by attenuating vibration modes of mechanical structures over a narrow bandwidth of frequencies. This paper presents the basic dynamic equations and a model of the nonlinear magnetic actuator force that includes the effects of magnetic flux leakage for the EMA. The model also includes the effects of gravity and the reluctance of the magnet iron. A method for linearizing the magnetic force about any desired operating point is presented. Equations are presented mat give the optimal PID controller gains at any desired operating point in the air gap. Experimental actuator force measurements are also presented that are used to estimate flux leakage correction factors. Finally, PID controllers are synthesized and applied to an EMA test bed. Impulse response and harmonic response data verify the optimality of the controller gains, and show up to 19 dB attenuation of the main structure vibration when the EMA is tuned using the optimal control gains..

Original languageEnglish
Title of host publication17th Biennial Conference on Mechanical Vibration and Noise
Pages2371-2378
Number of pages8
ISBN (Electronic)9780791880395
DOIs
StatePublished - 1999
EventASME 1999 Design Engineering Technical Conferences, DETC 1999 - Las Vegas, United States
Duration: Sep 12 1999Sep 16 1999

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume7B-1999

Conference

ConferenceASME 1999 Design Engineering Technical Conferences, DETC 1999
Country/TerritoryUnited States
CityLas Vegas
Period9/12/999/16/99

Bibliographical note

Publisher Copyright:
© 1999 by ASME

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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