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Proceedings Paper

Model of an active eddy current vibration control system
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Paper Abstract

There exist many methods of adding damping to a vibrating structure; however, very few can function without ever coming into contact with that structure. One such method is eddy current damping. This magnetic damping scheme functions through the eddy currents that are generated in a conductive material when it is subjected to a time changing magnetic field. Due to the circulation of these currents, a magnetic field is generated that interacts with the applied field resulting in a force. In this manuscript, an active damper will be theoretically developed that functions by actively modifying the current flowing through a coil, thus generating a time varying magnetic field. By actively controlling the strength of the field around the conductor, the eddy currents induced and the resulting damping force can be controlled. This actuation method is easy to incorporate into the system and allows significant forces to be applied without every coming into contact with the structure. Therefore vibration control can be applied without inducing mass loading or added stiffness, which are downfalls of other methods. This manuscript will provide a theoretical derivation of the equations defining the electric fields generated and the dynamic forces induced in the structure. This derivation will show that when eddy current are generated due to a variation in the strength of the magnetic source the resulting force occurs at twice the frequency of the applied current. This frequency doubling effect will be experimentally verified. Furthermore, a feedback controller will be designed to account for the frequency doubling effect and simulated to show that significant vibration suppression the can be achieved with this technique.

Paper Details

Date Published: 27 March 2006
PDF: 12 pages
Proc. SPIE 6166, Smart Structures and Materials 2006: Modeling, Signal Processing, and Control, 61661I (27 March 2006); doi: 10.1117/12.658812
Show Author Affiliations
Henry A. Sodano, Michigan Technological Univ. (United States)
Daniel J. Inman, Virginia Polytechnic Institute and State Univ. (United States)

Published in SPIE Proceedings Vol. 6166:
Smart Structures and Materials 2006: Modeling, Signal Processing, and Control
Douglas K. Lindner, Editor(s)

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