[KSCI] Korea Science Citation Index Service

Dynamic Characteristics Modeling for A MR Damper using Artifical Neural Network

백운경 (부경대학교 기계공학부)
이종석 (부경대학교 기계공학부대학)
손정현 (부경대학교 기계공학부)

Publication Information

Transactions of the Korean Society of Automotive Engineers / v.12, no.3, 2004 , pp. 170-176 More about this Journal

Abstract

MR dampers show highly nonlinear and histeretic dynamic behavior. Therefore, for a vehicle dynamic simulation with MR dampers, this dynamic characteristics should be accurately reflected in the damper model. In this paper, an artificial neural network technique was developed for modeling MR dampers. This MR damper model was successfully verified through a random input forcing test. This MR damper model can be used for semi-active suspension vehicle dynamics and control simulations with practical accuracy.

Keywords

MR damper; Artifical neural network; Nonlinear dynamic characteristics; Output error model; Semi-active suspension system;

Citations & Related Records

Times Cited By KSCI : 3 (Citation Analysis)

Reference
Cited By KSCI

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2	Empirical Bushing Model using Artificial Neural Network / [ J.H.Sohn ] / Transactions of KSAE 과학기술학회마을
3	Modeling of Shock Absorber Behavior using Artifical Neuran Netowrks / [ J.W.Fash ] / SAE 940248
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9	/ [] / The MathWorks
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11	Neural Network Modeling of a Magnetorheological Damper / [ C.C.Chang;P.Roschke ] / Journal of Intelligent Material Systems and Structures DOI

KSCI

Dynamic Characteristics Modeling for A MR Damper using Artifical Neural Network 인공신경망을 이용한 MR댐퍼의 동특성 모델링

Dynamic Characteristics Modeling for A MR Damper using Artifical Neural Network