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Linearization of magnetorheological behaviour using a neural network

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2 Author(s)
Byeonghwa Kim ; Texas A&M Univ., College Station, TX, USA ; Roschke, P.N.

A magnetorheological (MR) damper is a recently invented electromechanical semi-active control device that holds promise for applications to ameliorate structural vibration. However, nonlinear characteristics of MR dampers are delaying field installation. This paper provides a linearization scheme for MR damper behaviour using a neural network that is applicable for an online control environment

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference:

1999

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