A novel inverse dynamic model for a magnetorheological damper based on network inversion.

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Title: A novel inverse dynamic model for a magnetorheological damper based on network inversion.
Authors: Boada, M. J. L.1 mjboada@ing.uc3m.es, Boada, B. L.1, Diaz, V.1
Source: Journal of Vibration & Control. Aug2018, Vol. 24 Issue 15, p3434-3453. 20p.
Subjects: Magnetorheology, Vibration (Mechanics), Dampers (Mechanical devices), Electric controllers, Nonlinear analysis
Abstract: Semi-active suspensions based on magnetorheological (MR) dampers are receiving significant attention, especially for control of vibration isolation systems. The nonlinear hysteretic behavior of MR dampers can cause serious problems in controlled systems, such as instability and loss of robustness. Most of the developed controllers determine the desired damping forces which should be produced by the MR damper. Nevertheless, the MR damper behavior can only be controlled in terms of the applied current (or voltage). In addition to this, it is necessary to develop an adequate inverse dynamic model in order to calculate the command current (or voltage) for the MR damper to generate the desired forces as close as possible to the optimal ones. Due to MR dampers being highly nonlinear devices, the inverse dynamics model is difficult to obtain. In this paper, a novel inverse MR damper model based on a network inversion is presented to estimate the necessary current (or voltage) such that the desired force is exerted by the MR damper. The proposed inverse model is validated by carrying out experimental tests. In addition, a comparison of simulated tests with other damper controllers is also presented. Results show the effectiveness of the network inversion for inverse modeling of an MR damper. Thus, the proposed inverse model can act as a damper controller to generate the command current (or voltage) to track the desired damping force. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A novel inverse dynamic model for a magnetorheological damper based on network inversion.
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  Data: <searchLink fieldCode="AR" term="%22Boada%2C+M%2E+J%2E+L%2E%22">Boada, M. J. L.</searchLink><relatesTo>1</relatesTo><i> mjboada@ing.uc3m.es</i><br /><searchLink fieldCode="AR" term="%22Boada%2C+B%2E+L%2E%22">Boada, B. L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Diaz%2C+V%2E%22">Diaz, V.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="DE" term="%22Magnetorheology%22">Magnetorheology</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+%28Mechanics%29%22">Vibration (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Dampers+%28Mechanical+devices%29%22">Dampers (Mechanical devices)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+controllers%22">Electric controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+analysis%22">Nonlinear analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Semi-active suspensions based on magnetorheological (MR) dampers are receiving significant attention, especially for control of vibration isolation systems. The nonlinear hysteretic behavior of MR dampers can cause serious problems in controlled systems, such as instability and loss of robustness. Most of the developed controllers determine the desired damping forces which should be produced by the MR damper. Nevertheless, the MR damper behavior can only be controlled in terms of the applied current (or voltage). In addition to this, it is necessary to develop an adequate inverse dynamic model in order to calculate the command current (or voltage) for the MR damper to generate the desired forces as close as possible to the optimal ones. Due to MR dampers being highly nonlinear devices, the inverse dynamics model is difficult to obtain. In this paper, a novel inverse MR damper model based on a network inversion is presented to estimate the necessary current (or voltage) such that the desired force is exerted by the MR damper. The proposed inverse model is validated by carrying out experimental tests. In addition, a comparison of simulated tests with other damper controllers is also presented. Results show the effectiveness of the network inversion for inverse modeling of an MR damper. Thus, the proposed inverse model can act as a damper controller to generate the command current (or voltage) to track the desired damping force. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/1077546317705991
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 3434
    Subjects:
      – SubjectFull: Magnetorheology
        Type: general
      – SubjectFull: Vibration (Mechanics)
        Type: general
      – SubjectFull: Dampers (Mechanical devices)
        Type: general
      – SubjectFull: Electric controllers
        Type: general
      – SubjectFull: Nonlinear analysis
        Type: general
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      – TitleFull: A novel inverse dynamic model for a magnetorheological damper based on network inversion.
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            NameFull: Boada, M. J. L.
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            NameFull: Boada, B. L.
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            NameFull: Diaz, V.
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            – D: 01
              M: 08
              Text: Aug2018
              Type: published
              Y: 2018
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