Mathematical modelling of a single magneto-rheological for car suspension system using Modified Bouc-Wen model

Yahaya, Saifudin Hafiz and Yaakub, Siti Farizah and Salleh, Mohd Shukor (2024) Mathematical modelling of a single magneto-rheological for car suspension system using Modified Bouc-Wen model. Journal of Engineering and Sustainable Development, 28 (5). pp. 561-569. ISSN 2520-0917

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Abstract

Magneto-Rheological (MR) automotive suspension represents the most advanced technology currently available for enhancing passenger comfort through intelligent fluid behaviour. This work employed a Modified Bouc-Wen model to create a mathematical representation of a single MR vehicle suspension and compared its ride performance to that of passive suspension systems. The model was formulated and solved using second-order linear differential equations, with MATLAB software utilized to visualize the results. The maximum vertical displacement for the single MR mathematical model in this work was 0.031 m, while the minimum was -0.0124 m. At the minimum position, the vertical displacements for the passive model were 0.0532 m and -0.0133 m. The results demonstrated that the vertical displacement variation was similar for both the mathematical model and the passive system. All displacements obtained from the mathematical modeling of the single MR system were close to its mean of 0.000875 m (nearly zero). There was reduced vibration when zero displacement was achieved. It was concluded that MR damper significantly improved car suspension performance compared to passive solutions. This paper developed a single MR vehicle suspension system using the Modified Bouc-Wen model in a Proton Preve.

Item Type:	Article
Uncontrolled Keywords:	Bouc-Wen Equation, Magneto-RheologicalSuspension System, Single Model, Vertical Displacement
Divisions:	Faculty Of Industrial And Manufacturing Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	14 Mar 2025 16:15
Last Modified:	14 Mar 2025 16:15
URI:	http://eprints.utem.edu.my/id/eprint/28442
Statistic Details:	View Download Statistic

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