Modeling and study of nonlinear effects in electrodynamic shakers

Saraswat, Abhishek; Tiwari, Nilesh Kumar

doi:10.1016/j.ymssp.2016.07.025

Cited by 15 publications

(7 citation statements)

References 2 publications

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“…Indeed, in case of high input level, the stiffness factor K ms can no longer be considered as constantvalued but varies with the displacement x(t). This behaviour can be modelled using polynomial approximations [10,22,23,24]. Besides, the damping R ms is usually considered independent of displacement or velocity.…”

Section: State Of the Artmentioning

confidence: 99%

Modelling nonlinear viscoelastic behaviours of loudspeaker suspensions-like structures

Maillou

Lotton

Novák

et al. 2018

Journal of Sound and Vibration

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Mechanical properties of an electrodynamic loudspeaker are mainly determined by its suspensions (surround and spider) that behave nonlinearly and typically exhibit frequency dependent viscoelastic properties such as creep effect. The paper aims at characterizing the mechanical behaviour of electrodynamic loudspeaker suspensions at low frequencies using nonlinear identification techniques developed in recent years. A Generalized Hammerstein based model can take into account both frequency dependency and nonlinear properties. As shown in the paper, the model generalizes existing nonlinear or viscoelastic models commonly used for loudspeaker modelling. It is further experimentally shown that a possible input-dependent law may play a key role in suspension characterization. The archived file is not the final published version of the article B.

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Section: State Of the Artmentioning

confidence: 99%

Modelling nonlinear viscoelastic behaviours of loudspeaker suspensions-like structures

Maillou

Lotton

Novák

et al. 2018

Journal of Sound and Vibration

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“…Klippel [23] studied the electromagnetic-mechanical coupling of loudspeakers. Saraswat and Tiwari [24] studied the electromagnetic-mechanical coupling in electrodynamic shakers. Kim et al [25] introduced an electrical, magnetic, and mechanical coupling analysis method in vibrating motors.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic-mechanical coupling analysis and optimization method of electromagnetic vibroseis

Chen

Xing

Sun

et al. 2023

Meas. Sci. Technol.

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Electromagnetic vibroseis is an important seismic wave excitation device. At present, the research of electromagnetic vibroseis mainly focuses on application and prototype design, lacking research on electromagnetic-mechanical coupling. Analyzing the electromagnetic-mechanical coupling and optimizing the air gap magnetic field is of great significance to improve the excitation quality of low-frequency seismic waves. In this paper, the electromagnetic-mechanical coupling is analyzed by studying the parameter force factor, and two novel optimal designs of the air gap magnetic field are proposed. Firstly, the finite element model of the air gap magnetic field is established, and the influence of the force factor distribution curve on the vibration signal is analyzed by using the Gaussian function and parameter spline difference (PSD) method. Further, an asymmetrical axial dual-magnet design is proposed to enhance the radial magnetic induction intensity Βr in the air gap. The design of adding a radial magnet to the outer yoke is proposed to compensate for the nonlinearity of the Βr in the air gap. The simulation results show that the asymmetric axial dual-magnet structure increases the Βr by 22.2% compared with the axial single-magnet structure. Adding a radial magnet to the outer yoke reduces the amplitude ratio of the third harmonic to the fundamental wave from 23.24% to 4.66%. It is necessary to consider the influence of the height of the driving coils on the maximum displacement, force factor distribution curve, and harmonic distortion.

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“…The replication of the dynamic component of the GRF being precisely the interest of this work. The inertial shaker employed represents an inherently nonlinear electro-mechanical system [5] whose dynamics are modeled with a non-invertible model [6]. This causes the inverse problem of obtaining the shaker drive target signal (the one which makes the actuator behaves as desired) to be not straightforward.…”

Section: Introductionmentioning

confidence: 99%

Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

Peláez-Rodríguez,

Magdaleno,

Salcedo-Sanz

et al. 2023

Bulletin of the Polish Academy of Sciences Technical Sciences

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An iterative neural network framework is proposed in this paper for the human-induced Ground Reaction Forces (GRF) replication with an inertial electrodynamic mass actuator (APS 400). This is a first approach to the systematization of dynamic load tests on structures in a purely objective, repeatable and pedestrian-independent basis. Therefore, an inversion-free offline algorithm based on Machine Learning techniques has been applied for the first time on an electrodynamic shaker, without requiring its inverse model to tackle the inverse problem of successful force reconstruction. The proposed approach aims to obtain the optimal drive signal to minimize the error between the experimental shaker output and the reference force signal, measured with a pair of instrumented insoles (Loadsol © ) for human bouncing at different frequencies and amplitudes. The optimal performance, stability and convergence of the system are verified through experimental tests, achieving excellent results in both time and frequency domain.

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Modeling and study of nonlinear effects in electrodynamic shakers

Cited by 15 publications

References 2 publications

Modelling nonlinear viscoelastic behaviours of loudspeaker suspensions-like structures

Modelling nonlinear viscoelastic behaviours of loudspeaker suspensions-like structures

Electromagnetic-mechanical coupling analysis and optimization method of electromagnetic vibroseis

Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

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