Adaptive identification of MR damper for vibration control

Takashi Terasawa; Chiharu Sakai; Hiromitsu Ohmori; Akira Sano

doi:10.1109/cdc.2004.1428732

Adaptive identification of MR damper for vibration control

Takashi Terasawa, Chiharu Sakai, Hiromitsu Ohmori, Akira Sano

Department of System Design Engineering

Research output: Contribution to journal › Conference article › peer-review

35 Citations (Scopus)

Abstract

Magnetorheological (MR) damper is a promising semi-active device for vibration control of structures. This paper presents a simple mathematical model of MR damper with a small number of model parameters, which can express its hysteresis behavior of nonlinear dynamic friction mechanism of the MR fluid. The adaptive identification algorithm is also proposed in which the uncertain model parameters and internal state variable can be estimated in an online manner. The proposed model has an advantage that by using its inverse model we can analytically determine the necessary input voltage to the MR damper so that the desirable damper force can be added to the structure in an adaptive manner. Experimental results validate the proposed adaptive modeling method and the model-based inverse control approach in vibration isolation of three story structure.

Original language	English
Article number	WeC01.1
Pages (from-to)	2297-2303
Number of pages	7
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	3
DOIs	https://doi.org/10.1109/cdc.2004.1428732
Publication status	Published - 2004
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: 2004 Dec 14 → 2004 Dec 17

ASJC Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Control and Optimization

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title = "Adaptive identification of MR damper for vibration control",

abstract = "Magnetorheological (MR) damper is a promising semi-active device for vibration control of structures. This paper presents a simple mathematical model of MR damper with a small number of model parameters, which can express its hysteresis behavior of nonlinear dynamic friction mechanism of the MR fluid. The adaptive identification algorithm is also proposed in which the uncertain model parameters and internal state variable can be estimated in an online manner. The proposed model has an advantage that by using its inverse model we can analytically determine the necessary input voltage to the MR damper so that the desirable damper force can be added to the structure in an adaptive manner. Experimental results validate the proposed adaptive modeling method and the model-based inverse control approach in vibration isolation of three story structure.",

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doi = "10.1109/cdc.2004.1428732",

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note = "2004 43rd IEEE Conference on Decision and Control (CDC) ; Conference date: 14-12-2004 Through 17-12-2004",

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T1 - Adaptive identification of MR damper for vibration control

AU - Terasawa, Takashi

AU - Sakai, Chiharu

AU - Ohmori, Hiromitsu

AU - Sano, Akira

PY - 2004

Y1 - 2004

N2 - Magnetorheological (MR) damper is a promising semi-active device for vibration control of structures. This paper presents a simple mathematical model of MR damper with a small number of model parameters, which can express its hysteresis behavior of nonlinear dynamic friction mechanism of the MR fluid. The adaptive identification algorithm is also proposed in which the uncertain model parameters and internal state variable can be estimated in an online manner. The proposed model has an advantage that by using its inverse model we can analytically determine the necessary input voltage to the MR damper so that the desirable damper force can be added to the structure in an adaptive manner. Experimental results validate the proposed adaptive modeling method and the model-based inverse control approach in vibration isolation of three story structure.

AB - Magnetorheological (MR) damper is a promising semi-active device for vibration control of structures. This paper presents a simple mathematical model of MR damper with a small number of model parameters, which can express its hysteresis behavior of nonlinear dynamic friction mechanism of the MR fluid. The adaptive identification algorithm is also proposed in which the uncertain model parameters and internal state variable can be estimated in an online manner. The proposed model has an advantage that by using its inverse model we can analytically determine the necessary input voltage to the MR damper so that the desirable damper force can be added to the structure in an adaptive manner. Experimental results validate the proposed adaptive modeling method and the model-based inverse control approach in vibration isolation of three story structure.

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JO - Proceedings of the IEEE Conference on Decision and Control

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Adaptive identification of MR damper for vibration control

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