2014
DOI: 10.1007/s12239-014-0044-4
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Generalized magnetorheological (MR) damper model and its application in semi-active control of vehicle suspension system

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Cited by 46 publications
(28 citation statements)
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“…The role of spring components in conventional suspensions fulfils generally coil springs (less often torsion bars and leaf springs) [1]. This element has constant spring characteristics.…”
Section: Suspension Systemsmentioning
confidence: 99%
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“…The role of spring components in conventional suspensions fulfils generally coil springs (less often torsion bars and leaf springs) [1]. This element has constant spring characteristics.…”
Section: Suspension Systemsmentioning
confidence: 99%
“…However, both the less popular Boge method and the commonly applied EUSAMA method are flawed and undoubtedly require improvements, particularly in light of the dynamic evolution of suspension subunits (semi-active, active suspension systems etc.) [1][2][3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, models have been proposed based on trigonometric functions through which responses of mechanical elements have been described [1]. One of the best known is Pacejka's Magic Formula [19] which predicts the non-linear behaviour of a tyre with a great precision.…”
Section: Proposed Mr Damper Modelmentioning
confidence: 99%
“…The model presents the following advan-tages in comparison with other previously proposed models: (1) it is based on algebraic functions instead of differential equations, so that it does not present convergence problems when noisy inputs from exper-imental measurements are used; (2) the number of parameters is reasonable, so that it makes the model computationally efficient in the context of parameter identification and (3) the model has to take into account the variation of the parameters as a function, not only of the applied current but also of the frequency of excitation. Experimental results confirm that the proposed frequency dependent MR damper model improves the accuracy of the model in force simulation.…”
mentioning
confidence: 99%
“…Zirkohi and Lin proposed an interval type-2 fuzzy-neural network approach incorporating the Lyapunov design approach and SMC method to improve controller robustness [14]. Balamurugan to generate the desired damping force and adjust the voltage level to MR damper based on the quarter car vehicle model of semiactive suspension [15]. Zhang et al designed a semiactive controller based on the inverse model and sliding mode control strategies for the quarter-vehicle suspension with the magnetorheological damper [16].…”
Section: Introductionmentioning
confidence: 99%