Modeling of a magnetorheological damper by recursive lazy learning

Calvo, J.A.; Boada, María Jesús López; Díaz, Vicente

doi:10.1016/j.ijnonlinmec.2008.11.019

Cited by 75 publications

(60 citation statements)

References 22 publications

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“…Proof of the effectiveness of the proposed model was performed by means of a quantitative analysis that takes into consideration the error for the different accomplished damper controllers. The following equation has been used to represent the norm error as a function of time (Boada et al (2011)):…”

Section: Rnn Damper Controllermentioning

confidence: 99%

A novel inverse dynamic model for a magnetorheological damper based on network inversion

Boada

Díaz

2017

Journal of Vibration and Control

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Semi-active suspensions based on magnetorheological (MR) dampers are receiving significant attention specially for control of vibration isolation systems. The nonlinear hysteretic behaviour of MR dampers can cause serious problems in controlled systems such as instability and loss of robustness. Most of the developed controllers determine the desired damping forces which should be produced by the MR damper. Nevertheless, the MR damper behaviour can only be controlled in terms of the applied current (or voltage). In addition to this, it is necessary to develop an adequate inverse dynamic model in order to calculate the command current (or voltage) for the MR damper to generate the desired forces as close as possible to the optimal ones. Due to MR dampers are highly nonlinear devices, the inverse dynamics model is difficult to obtain. In this paper, a novel inverse MR damper model based on a network inversion to estimate the necessary current (or voltage) such as the desired force is exerted by the MR damper is presented. The proposed inverse model is validated carrying out experimental tests. In addition, a comparison of simulated tests with other damper controllers is also presented. Results show the effectiveness of the network inversion for inverse modeling of an MR damper, so that the proposed inverse model can act as a damper controller to generate the command current (or voltage) to track the desired damping force. Keywords

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Section: Rnn Damper Controllermentioning

confidence: 99%

A novel inverse dynamic model for a magnetorheological damper based on network inversion

Boada

Díaz

2017

Journal of Vibration and Control

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“…There are several MR damper models proposed in the literature, in order to describe their non-linear and hysteretic responses [3,4,8,14,16,28]. One of the most extensively used models to describe the non-linear hysteretic behaviour of a MR damper is the Bouc-Wen model, proposed by Spencer et al [24].…”

Section: Abstract: Magnetorheological Damper á Frequency Dependent Momentioning

confidence: 99%

A novel frequency dependent model based on trigonometric functions for a magnetorheological damper

Boada

Díaz

2017

Meccanica

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., Díaz, V. (2017 (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.

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“…MR fluid technology has been used in various engineering applications. MR dampers used in vibration damping control applications (Weiss et al 1998;Ginder et al 1996;Spencer et al 1997;Dyke et al 1998;Guo and Hu 2005;Boada et al 2011) are devices that work with MR Fluids and recently they are widely used in variety of fields such as automotive industry, military and agricultural trucks (Olabi and Grunwald 2007;Lindler et al 2000;Chooi and Oyadiji 2008;Ha et al 2009;Hiemenz et al 2009). It has also been widely used for the clutch, brake and locking systems in the automotive sector (Li and Du 2005;Park et al 2006;Senkal and Gürocak 2010;19-21).…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation on Laminar Pipe Flow of Magneto-Rheological Fluids under Applied External Magnetic Field

Gedik

2017

JAFM

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An experimental and numerical study of Magnetorheological (MR) fluids flow in circular pipes under the influence of uniform magnetic field is considered. In the experiments, an electromagnetic device was manufactured to generate the magnetic field. The experiments were performed using magnetic fields B= 0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.12 and 0.15 T. Numerical study was performed to show the accuracy of the results obtained from experimental study. In numerical study, Computational Fluid Dynamics (CFD) analysis was used. The ANSYS Fluent 14.0 code based on the finite volume method was used for the CFD analysis. In the experiments, the applied magnetic field decreased the flow rate of the fluids by increasing viscosity. In case of 10 mm pipe diameter, the flow velocity of the A, B and C fluids were obtained as 0.593, 0.749 and 0.938 m/s respectively in situation B=0 T. When magnetic field was applied as B=0.15 T, decreases have occurred in the velocity of A, B and C fluids as 95.27%, 90.24% and 85.6% respectively. Similarly, in case of 15 mm pipe diameter, 96.87%, 95.06% and 90.76% decreases have occurred in the flow velocity of A, B and C fluids having 0.301, 0.363 and 0.445 m/s flow velocity respectively. The results were compared for the magnetic field values B=0, 0.05, 0.10 and 0.15 T. It was found that the differences between experimental and numerical study were found as 6.10% and 1.71% for the B=0 T and B≠0 T situations respectively when the pipe has 10 mm pipe diameter. In case of 15 mm pipe diameter, the differences were found as 2.31% and 0.89%. As a result, it was found that the results obtained from experimental and numerical study were qualitatively and quantitatively in good agreement.

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Modeling of a magnetorheological damper by recursive lazy learning

Cited by 75 publications

References 22 publications

A novel inverse dynamic model for a magnetorheological damper based on network inversion

A novel inverse dynamic model for a magnetorheological damper based on network inversion

A novel frequency dependent model based on trigonometric functions for a magnetorheological damper

Experimental and Numerical Investigation on Laminar Pipe Flow of Magneto-Rheological Fluids under Applied External Magnetic Field

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