Adaptive inverse control of time waveform replication for electrohydraulic shaking table.

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Title: Adaptive inverse control of time waveform replication for electrohydraulic shaking table.
Authors: Gang Shen1, Zheng, Shu-Tao2, Ye, Zheng-Mao2, Huang, Qi-Tao2, Cong, Da-Cheng2, Han, Jun-Wei2
Source: Journal of Vibration & Control. Oct2011, Vol. 17 Issue 11, p1611-1633. 23p.
Subjects: Mechanical vibration research, Structural dynamics, Simulation methods & models, Electrohydraulic effect, Adaptive control systems, System identification
Abstract: A combined control strategy with an adaptive inverse control (AIC) and an inverse frequency response function (IFRF) equalization technique is proposed for the electrohydraulic shaking table (EST) system. The control purpose is to improve the accuracy of time waveform replication. In contrast to the iterative compensation through repetitive excitations control approach of industrial EST controllers, the proposed control strategy utilizes an IFRF of the EST system for extending the EST system frequency bandwidth and obtaining asymptotic reference tracking, and employs a variable tap-length filtered-x least-mean-squares algorithm to adaptively tune the time-domain drive signal and further improve the position and acceleration tracking performance of the EST system. Thus, the proposed combined control strategy is designed to combine the merits of IFRF and AIC. The procedures of the proposed control strategy are programmed in MATLAB/Simulink, and then compiled to a real-time PC with Microsoft Visual Studio.NET for implementation. The simulated and experimental results show that this control strategy achieves satisfactory position and acceleration waveform replication accuracy. [ABSTRACT FROM PUBLISHER]
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: Adaptive inverse control of time waveform replication for electrohydraulic shaking table.
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  Data: <searchLink fieldCode="DE" term="%22Mechanical+vibration+research%22">Mechanical vibration research</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+dynamics%22">Structural dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Electrohydraulic+effect%22">Electrohydraulic effect</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22System+identification%22">System identification</searchLink>
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  Data: A combined control strategy with an adaptive inverse control (AIC) and an inverse frequency response function (IFRF) equalization technique is proposed for the electrohydraulic shaking table (EST) system. The control purpose is to improve the accuracy of time waveform replication. In contrast to the iterative compensation through repetitive excitations control approach of industrial EST controllers, the proposed control strategy utilizes an IFRF of the EST system for extending the EST system frequency bandwidth and obtaining asymptotic reference tracking, and employs a variable tap-length filtered-x least-mean-squares algorithm to adaptively tune the time-domain drive signal and further improve the position and acceleration tracking performance of the EST system. Thus, the proposed combined control strategy is designed to combine the merits of IFRF and AIC. The procedures of the proposed control strategy are programmed in MATLAB/Simulink, and then compiled to a real-time PC with Microsoft Visual Studio.NET for implementation. The simulated and experimental results show that this control strategy achieves satisfactory position and acceleration waveform replication accuracy. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
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  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: 10.1177/1077546310380431
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1611
    Subjects:
      – SubjectFull: Mechanical vibration research
        Type: general
      – SubjectFull: Structural dynamics
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      – SubjectFull: Simulation methods & models
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      – SubjectFull: Electrohydraulic effect
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      – SubjectFull: Adaptive control systems
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      – SubjectFull: System identification
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      – TitleFull: Adaptive inverse control of time waveform replication for electrohydraulic shaking table.
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            NameFull: Gang Shen
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            NameFull: Zheng, Shu-Tao
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            NameFull: Huang, Qi-Tao
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            NameFull: Cong, Da-Cheng
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              M: 10
              Text: Oct2011
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