Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current
Smart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. A hysteretic model consid...
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2021/6691650 |
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doaj-5400cc65542d41268aab8685a5c584d72021-04-19T00:04:23ZengHindawi LimitedShock and Vibration1875-92032021-01-01202110.1155/2021/6691650Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and CurrentShuguang Zhang0Wenku Shi1Zhiyong Chen2State Key of Automobile Simulation and Control LaboratoryState Key of Automobile Simulation and Control LaboratoryState Key of Automobile Simulation and Control LaboratorySmart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. A hysteretic model considering both excitation characteristics and input current is proposed to fit the damper force-velocity curve for the MR damper under different conditions. Multifactor sensitivity analysis based on the neural network method is used to obtain importance parameters of the hyperbolic tangent model. In order to demonstrate the fitting precision of the different models, the shuffled frog-leaping algorithm (SFLA) is employed to identify the parameters of MR damper models. The research results indicate that the modified model can not only describe the nonlinear hysteretic behavior of the MR damper more accurately in fixed conditions, compared with the original model, but also meet the fitting precision under a wide range of magnitudes of control current and excitation conditions (frequency and amplitude). The method of parameter sensitivity analysis and identification can also be used to modify other nonlinear dynamic models.http://dx.doi.org/10.1155/2021/6691650 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shuguang Zhang Wenku Shi Zhiyong Chen |
spellingShingle |
Shuguang Zhang Wenku Shi Zhiyong Chen Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current Shock and Vibration |
author_facet |
Shuguang Zhang Wenku Shi Zhiyong Chen |
author_sort |
Shuguang Zhang |
title |
Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current |
title_short |
Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current |
title_full |
Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current |
title_fullStr |
Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current |
title_full_unstemmed |
Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current |
title_sort |
modeling and parameter identification of mr damper considering excitation characteristics and current |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1875-9203 |
publishDate |
2021-01-01 |
description |
Smart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. A hysteretic model considering both excitation characteristics and input current is proposed to fit the damper force-velocity curve for the MR damper under different conditions. Multifactor sensitivity analysis based on the neural network method is used to obtain importance parameters of the hyperbolic tangent model. In order to demonstrate the fitting precision of the different models, the shuffled frog-leaping algorithm (SFLA) is employed to identify the parameters of MR damper models. The research results indicate that the modified model can not only describe the nonlinear hysteretic behavior of the MR damper more accurately in fixed conditions, compared with the original model, but also meet the fitting precision under a wide range of magnitudes of control current and excitation conditions (frequency and amplitude). The method of parameter sensitivity analysis and identification can also be used to modify other nonlinear dynamic models. |
url |
http://dx.doi.org/10.1155/2021/6691650 |
work_keys_str_mv |
AT shuguangzhang modelingandparameteridentificationofmrdamperconsideringexcitationcharacteristicsandcurrent AT wenkushi modelingandparameteridentificationofmrdamperconsideringexcitationcharacteristicsandcurrent AT zhiyongchen modelingandparameteridentificationofmrdamperconsideringexcitationcharacteristicsandcurrent |
_version_ |
1714674205903028224 |