Vibration control in quarter-car model with magnetorheological dampers using FxLMS algorithm with preview

Krauze, Piotr; Kasprzyk, Jerzy

doi:10.1109/ecc.2014.6862553

Cited by 10 publications

(10 citation statements)

References 11 publications

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“…Parameters of the Bouc-Wen model (see the list below) were estimated based on the identification results presented in [16]. [29] that the response time of the force yield by the MR damper depends on both the control current level and the kinematic excitation of the damper piston, and it can vary from 20 to 40 ms.…”

Section: Mr Damper Modelmentioning

confidence: 99%

“…The idea of using the modified FxLMS algorithm for vibration control in semiactive suspension was introduced in [16]. It was assumed that the experimental vehicle is equipped with an additional device scanning the road profile and the algorithm takes advantage of the reference signal generated by this device.…”

Section: Mixed Skyhook and Fxlms Controlmentioning

confidence: 99%

“…This signal path was estimated starting from the force generated by the rear MR damper and ending with the pitch velocity assuming that the additional viscous damper was added to the vehicle suspension. This fictitious damper equivalent to the averaged velocity-force characteristics is used for modification of the dissipative domain of the MR damper, as it was shown in [16]. Operator −1 presented in Figure 5 corresponds to a onesample delay.…”

Section: Mixed Skyhook and Fxlms Controlmentioning

confidence: 99%

“…Stochastic optimal preview control of a vehicle suspension was presented in [14] and control using the ∞ theory in [15]. The other approach, based on the FxLMS algorithm modified for semiactive devices, was tested in [16] for a quarter-car model and in [17] for a half-car model. In all these references it is assumed that some kind of information about the road roughness is available in advance.…”

Section: Introductionmentioning

confidence: 99%

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Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

Krauze

Kasprzyk

2016

Advances in Acoustics and Vibration

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The problem of vibration attenuation in a semiactive vehicle suspension is considered. The proposed solution is based on usage of the information about the road roughness coming from the sensor installed on the front axle of the vehicle. It does not need any preview sensor to measure the road roughness as other preview control strategies do. Here, the well-known Skyhook algorithm is used for control of the front magnetorheological (MR) damper. This algorithm is tuned to a quarter-car model of the front part of the vehicle. The rear MR damper is controlled by the FxLMS (Filtered-x LMS) taking advantage of the information about the motion of the front vehicle axle. The goal of this algorithm is to minimize pitch of the vehicle body. The strategy is applied for a fourdegree-of-freedom (4-DOF) vehicle model equipped with magnetorheological dampers which were described using the Bouc-Wen model. The suspension model was subjected to the road-induced excitation in the form of a series of bumps within the frequency range 1.0-10 Hz. Different solutions are compared based on the transmissibility function and simulation results show the usefulness of the proposed solution.

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Section: Mr Damper Modelmentioning

confidence: 99%

Section: Mixed Skyhook and Fxlms Controlmentioning

confidence: 99%

Section: Mixed Skyhook and Fxlms Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

Krauze

Kasprzyk

2016

Advances in Acoustics and Vibration

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“…However, this algorithm is limited to one structure of the suspension model and it cannot take advantage of the road-induced excitation preview that is available in advance. The FxLMS (Filtered-x Least Mean Squares) algorithm [12] was modified and adapted for control of MR dampers and examined in vibration control of the quarter-car model in [13]. The current paper presents an extension of this approach to the half-car model.…”

mentioning

confidence: 99%

FxLMS algorithm with preview for vibration control of a half-car model with magnetorheological dampers

Krauze

Kasprzyk

2014

2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

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The paper presents a novel approach to the vehicle vibration control using magnetorheological (MR) dampers. Simulation experiments were carried out based on a half-car suspension model including the Bouc-Wen model of the MR damper. It is also assumed that information about the road excitation is available in advance as a preview signal. The tanhbased model of the MR damper was identified according to the Bouc-Wen model response and used to obtain the inverse model that is necessary in the control scheme. The adaptive feedforward LMS (Least Mean Squares) algorithm with a filtered preview signal was modified in order to control the semi-active elements. Because the MR damper can only dissipate energy, it was proposed to decompose the velocity-force characteristics of the damper into a nonlinear passive damper curve and a symmetrical control range of a pseudo active suspension actuator. Such assumption assures that the algorithm can converge to appropriate parameters of the adaptive filter. Deviation of an error signal assumed as kinematic energy of the vehicle body heave vibrations is minimized by the algorithm. Control force generated by the MR dampers and expected by the algorithm is achieved indirectly by the inverse model of the damper. The suspension model was subjected to the roadinduced stimulation in the form of series of bumps within the frequency range 0.5 -15 Hz. Simulation results obtained for the FxLMS (Filtered-x LMS) and Skyhook algorithms demonstrate an advantage of the modified FxLMS due to its ability to adapt to changing conditions.

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Performance Evaluation of Magneto-Rheological Damper Through Characterization Testing, Modeling and its Implementation in Quarter Car

Puneet

Devikiran

Kumar

et al. 2022

J. Vib. Eng. Technol.

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Vibration control in quarter-car model with magnetorheological dampers using FxLMS algorithm with preview

Cited by 10 publications

References 11 publications

Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

FxLMS algorithm with preview for vibration control of a half-car model with magnetorheological dampers

Performance Evaluation of Magneto-Rheological Damper Through Characterization Testing, Modeling and its Implementation in Quarter Car

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