2021
DOI: 10.1088/1361-665x/ac3f79
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Self-adapting model for variable stiffness magnetorheological dampers

Abstract: Variable stiffness magnetorheological fluid (MRF) dampers inherently have special nonlinear characteristics and complex structures. An accurate model describing the nonlinearity is the key for the damper to operate under variable conditions. This paper proposes a self-adapting model to characterize the variable stiffness MRF dampers through corresponding optimized algorithm. The experimental results verify the capability of the self-adapting of the model parameters. The model can describe the nonlinear charact… Show more

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Cited by 6 publications
(9 citation statements)
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“…At this time, the velocity of the piston of the external cylinder is infinitesimally small and approaches zero. The critical (Sun et al, 2015a) (E) characteristic of small motion damper (Lian et al, 2021).…”
Section: Figurementioning
confidence: 99%
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“…At this time, the velocity of the piston of the external cylinder is infinitesimally small and approaches zero. The critical (Sun et al, 2015a) (E) characteristic of small motion damper (Lian et al, 2021).…”
Section: Figurementioning
confidence: 99%
“…In addition to the Bingham model and Bouc-wen model, the piecewise function model is used to describe the variable stiffness characteristics (Xu et al, 2014;Huang et al, 2019;Sun et al, 2019). An adaptive model parameter identification method is also necessary (Lian et al, 2021). In the control strategy, simple sky-hook control is still the most widely used (Morales et al, 2018).…”
mentioning
confidence: 99%
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“…[9][10][11] Traditional variable damping and microfluidic devices often adjust the damping or flow rate by manipulating the number or size of channels, which frequently results in significant hysteresis in their behavior. [12][13][14] To overcome these limitations, it is believed that replacing hydraulic oil with MR fluids in traditional variable damping vibration reduction and microfluidic devices can effectively realize these functions by harnessing the unique characteristics of MR fluids, aligning with the current trend of intelligent development.…”
Section: Introductionmentioning
confidence: 99%