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Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization

Mohd Azraai, M. Razman and Priyandoko, Gigih and A. R., Yusoff and M. F. F., Ab Rashid (2015) Parametric Optimization Of Magneto-Rheological Fluid Damper Using Particle Swarm Optimization. International Journal of Automotive and Mechanical Engineering (IJAME), 11. pp. 2591-2599. ISSN 1985-9325(Print); 2180-1606 (Online)

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Abstract

This paper presents a parametric modeling of a magneto-rheological (MR) damper using a Particle Swarm Optimization (PSO) method. The objective of this paper is to optimize the parameter values of the MR fluid damper behavior using the Bouc-Wen model. The parametric identification was imposed beforehand in replicating the behavior of the MR fluid damper. The algebraic function from a number of hysteresis models was steered by comparing selected models: Bingham, Bouc-Wen and BoucWen by Kwok. A simulation method was operated in investigating these models by employing MATLAB reliant from the model intricacy. The experimental data was presented in terms of the time histories of the displacement, the velocity and the force parameters, measured for both constant and variable current settings and at a selected frequency applied to the damper. The model parameters were determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the MR damper model’s response via the proposed approach is in good agreement with the MR damper test rig counterpart

Item Type: Article
Uncontrolled Keywords: Magneto-rheological; absorber; hysteresis; PSO.
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 07 Sep 2015 08:24
Last Modified: 19 Apr 2018 02:46
URI: http://umpir.ump.edu.my/id/eprint/9878
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