Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.

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Title: Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.
Authors: Zhang, Wenbai1,2,3 (AUTHOR) zhangwenbai@tongji.edu.cn, Lin, Guobin1,2,3 (AUTHOR) 12154@tongji.edu.cn, Liao, Zhiming1,2,3 (AUTHOR) liaozhiming@tongji.edu.cn, Zhao, Yuanzhe1,2,3 (AUTHOR) yuanzhezhao@tongji.edu.cn
Source: Electrical Engineering. Jun2026, Vol. 108 Issue 6, p1-12. 12p.
Subjects: Magnetic levitation vehicles, Synchronous electric motors, Motion control devices, Adaptive filters, Lyapunov stability, Measurement errors, Observability (Control theory)
Abstract: To address the speed regulation challenges stemming from external running resistance variations and internal suspension-induced parameter fluctuations in electromagnetic suspension (EMS) maglev train linear synchronous motor (LSM) drives, this article presents a novel prediction-error-based active disturbance rejection speed control (PADRC). The mathematical model of train motion is established, incorporating lumped process disturbances. Based on this model, a predictive speed error model driven extended state observer (PESO) method is proposed to reject external resistance disturbance. To extract errors dynamics while mitigating noise effects, a recursive least squares (RLS) filter is integrated to proactively predict the variation trends of these disturbances. Besides, an online excitation flux linkage identification scheme is designed to minimize internal suspension-induced disturbances, characterizing the magnetic field variations influenced by excitation current and suspension air-gap. Moreover, stability analysis of the closed-loop system with the proposed scheme is conducted using Lyapunov stability theorem. To finalize, a scaled EMS maglev train LSM test platform is constructed to validate the proposed method. The results demonstrate that the proposed scheme achieves superior speed tracking precision in a real-time control environment, even in low-speed range. [ABSTRACT FROM AUTHOR]
Copyright of Electrical Engineering is the property of Springer Nature 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: Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.
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  Data: <searchLink fieldCode="DE" term="%22Magnetic+levitation+vehicles%22">Magnetic levitation vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronous+electric+motors%22">Synchronous electric motors</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+control+devices%22">Motion control devices</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+filters%22">Adaptive filters</searchLink><br /><searchLink fieldCode="DE" term="%22Lyapunov+stability%22">Lyapunov stability</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Observability+%28Control+theory%29%22">Observability (Control theory)</searchLink>
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  Data: To address the speed regulation challenges stemming from external running resistance variations and internal suspension-induced parameter fluctuations in electromagnetic suspension (EMS) maglev train linear synchronous motor (LSM) drives, this article presents a novel prediction-error-based active disturbance rejection speed control (PADRC). The mathematical model of train motion is established, incorporating lumped process disturbances. Based on this model, a predictive speed error model driven extended state observer (PESO) method is proposed to reject external resistance disturbance. To extract errors dynamics while mitigating noise effects, a recursive least squares (RLS) filter is integrated to proactively predict the variation trends of these disturbances. Besides, an online excitation flux linkage identification scheme is designed to minimize internal suspension-induced disturbances, characterizing the magnetic field variations influenced by excitation current and suspension air-gap. Moreover, stability analysis of the closed-loop system with the proposed scheme is conducted using Lyapunov stability theorem. To finalize, a scaled EMS maglev train LSM test platform is constructed to validate the proposed method. The results demonstrate that the proposed scheme achieves superior speed tracking precision in a real-time control environment, even in low-speed range. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Electrical Engineering is the property of Springer Nature 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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00202-026-03639-5
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: Magnetic levitation vehicles
        Type: general
      – SubjectFull: Synchronous electric motors
        Type: general
      – SubjectFull: Motion control devices
        Type: general
      – SubjectFull: Adaptive filters
        Type: general
      – SubjectFull: Lyapunov stability
        Type: general
      – SubjectFull: Measurement errors
        Type: general
      – SubjectFull: Observability (Control theory)
        Type: general
    Titles:
      – TitleFull: Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.
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            NameFull: Zhang, Wenbai
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            NameFull: Lin, Guobin
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            NameFull: Liao, Zhiming
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            NameFull: Zhao, Yuanzhe
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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