Single-stage magnetorheological damper parameter estimation

Vavreck, Andrew N.

doi:10.1088/0964-1726/11/4/316

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…The large number of parameters made some researchers try to find ways to estimate them. Vavreck [6] proposed a methodology to estimate the 14 parameters of the model [4] and Ye and Wang [7] authored a procedure to estimate the parameters of the Bouc-Wen part of the model.…”

Section: Introductionmentioning

confidence: 99%

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Understanding and modelling the physical behaviour of magnetorheological dampers for seismic structural control

Caterino

Spizzuoco

Occhiuzzi

2011

Smart Mater. Struct.

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Semi-active magnetorheological (SA MR) dampers seem to represent the easiest way to materialize the concept of smart devices for semi-active structural control. SA MR dampers can be utilized as reactive force generators, when the control algorithms adopted to drive the devices are derived in the framework of control theory, or as smart dampers, when the real-time change of their mechanical properties is aimed at providing, at any time, the optimal amount of damping in a structure. The two approaches have different requirements in modelling the SA MR devices. Based on an experimental campaign on two prototype devices manufactured in Europe, the present paper compares the effectiveness of numerical models presented in the literature and analyses the response time and the dissipative capabilities of such devices.

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Section: Introductionmentioning

confidence: 99%

“…References [5][6][7][8][9][10][11][12][13] are modified versions or optimizations of the model presented in [4], whose principal drawbacks are the high number of parameters and the lack of physical meaning of such parameters. Therefore, many authors tried to find numerical models of SA MR dampers with physically sound sense.…”

Section: Introductionmentioning

confidence: 99%

Understanding and modelling the physical behaviour of magnetorheological dampers for seismic structural control

Caterino

Spizzuoco

Occhiuzzi

2011

Smart Mater. Struct.

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“…The fuzzy rules of the fuzzy controller were established based on the experience of specialists and by conducting a literature review. [28][29][30][31][32] The control current exerted by the fuzzy controller was determined according to the fuzzy rules. The control rules and membership function of the fuzzy controller are shown in Table 3 and Figure 11, respectively.…”

Section: Control Algorithm Selectionmentioning

confidence: 99%

“…The fuzzy rules of the fuzzy controller were established based on the experience of specialists and by conducting a literature review 28–32 . The control current exerted by the fuzzy controller was determined according to the fuzzy rules.…”

Section: Design Of the Hi Systemmentioning

confidence: 99%

Hybrid isolation system with wire‐rope isolators and magnetorheological dampers for the isolation of blast‐induced vibration

Shen¹,

Li²,

Du³

2022

Structural Contr & Hlth

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Summary The aim of this research is to improve the isolation performance and energy dissipation characteristics of the widely used passive isolation (PI) system with wire‐rope isolators (WRIs) under the excitation of various blast‐induced vibration loads through the use of a semi‐active control system. A hybrid isolation (HI) system composed of WRIs and an innovative magnetorheological (MR) damper equipped with a motion controller is proposed, which can protect sensitive equipment and nonstructural elements by attenuating their dynamic response. The designs of the MR damper's magnetic circuit and control system were validated by establishing an electromagnetic field finite element model and a motion controller simulation model, respectively. A series of quasi‐static and shock table tests were conducted on models using three types of isolation: (1) a PI with WRIs, (2) an HI without a motion controller, and (3) an HI alone. The results show that the proposed MR damper can effectively restrain the tensile vibration of WRIs, significantly increase the isolation rate, and provide greater energy dissipation in HI systems with different weights of static loading subjected to various blast‐induced vibration loads.

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“…The hysteresis nonlinear behavior of MR damper corresponding to the relation between damping force, piston velocity and displacement form the characteristics of MR fluid. The studies done over the years on each model showed highlighted their limitation from not considering the hysteresis behavior of damper [8], [9], stiffness [10] and internal damping of MR damper (MR fluid) [11], [12], [13]. From the previous studies the mathematical model for the damper has been improved, but little attention has been paid to determine the relation of input variables to the intrinsic characteristics of MR damper.…”

Section: Introductionmentioning

confidence: 99%

Parametric Study of Damping Characteristics of Magneto-Rheological Damper: Mathematical and Experimental Approach

Wani

Tantray

2020

Pollack

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The present research work is a part of a project was a semi-active structural control technique using magneto-rheological damper has to be performed. Magneto-rheological dampers are an innovative class of semi-active devices that mesh well with the demands and constraints of seismic applications; this includes having very low power requirements and adaptability. A small stroke magneto-rheological damper was mathematically simulated and experimentally tested. The damper was subjected to periodic excitations of different amplitudes and frequencies at varying voltage. The damper was mathematically modeled using parametric Modified Bouc-Wen model of magneto-rheological damper in MATLAB/SIMULINK and the parameters of the model were set as per the prototype available. The variation of mechanical properties of magneto-rheological damper like damping coefficient and damping force with a change in amplitude, frequency and voltage were experimentally verified on INSTRON 8800 testing machine. It was observed that damping force produced by the damper depended on the frequency as well, in addition to the input voltage and amplitude of the excitation. While the damping coefficient (c) is independent of the frequency of excitation it varies with the amplitude of excitation and input voltage. The variation of the damping coefficient with amplitude and input voltage is linear and quadratic respectively. More ever the mathematical model simulated in MATLAB was in agreement with the experimental results obtained.

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Single-stage magnetorheological damper parameter estimation

Cited by 7 publications

References 6 publications

Understanding and modelling the physical behaviour of magnetorheological dampers for seismic structural control

Understanding and modelling the physical behaviour of magnetorheological dampers for seismic structural control

Hybrid isolation system with wire‐rope isolators and magnetorheological dampers for the isolation of blast‐induced vibration

Parametric Study of Damping Characteristics of Magneto-Rheological Damper: Mathematical and Experimental Approach

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