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http://dx.doi.org/10.5391/JKIIS.2007.17.7.875

Modeling of Shear-mode Rotary MR Damper Using Multi-layer Neural Network  

Cho, Jeong-Mok (창원대학교 제어계측공학과)
Huh, Nam (위아(주) 선행연구개발부)
Joh, Joong-Seon (창원대학교 제어계측공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.7, 2007 , pp. 875-880 More about this Journal
Abstract
Scientific challenges in the field of MR(magnetorheological) fluids and devices consist in the development of MR devices, the mathematical modeling and simulation of MR devices, and the development of (optimal) control algorithm for MR device systems. To take a maximum advantage of MR fluids in control applications a reliable mathematical model, which predicts their nonlinear characteristics, is needed. A inverse model of the MR device is required to calculate current(or voltage) input of MR damper, which generates required damping force. In this paper, we implemented test a bench for shear mode rotary MR damper and laboratory tests were performed to study the characteristics of the prototype shear-mode rotary MR damper. The direct identification and inverse dynamics modeling for shear mode rotary MR dampers using multi-layer neural networks are studied.
Keywords
Semi-active; Fuzzy Sky-hook; MR(Magnetorheological); Damper; Inverse Model; Neural Network;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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