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Robust predictive torque control of switched reluctance motor based on linear extended state observer.

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Title: Robust predictive torque control of switched reluctance motor based on linear extended state observer.
Authors: Chen, Fanqiang1 (AUTHOR) fan_qiang_chen@163.com, Li, Cunhe1 (AUTHOR) licunhe@sdut.edu.cn, Li, Zeyang1 (AUTHOR) 17685636173@163.com, Du, Qinjun1 (AUTHOR) duqinjun@sdut.edu.cn, Yin, Wenliang2 (AUTHOR) wenliang.yin@sydney.edu.au
Source: Electrical Engineering. Dec2024, Vol. 106 Issue 6, p7973-7984. 12p.
Subjects: Pulse width modulation transformers, Torque control, Reluctance motors, Voltage references, Automatic control systems, Switched reluctance motors
Abstract: To enhance the performance and robustness of predictive torque control amidst modeling errors and parameter variations in switched reluctance motor (SRM) drive systems, this paper proposes a model-free predictive torque control strategy utilizing a linear extended state observer. Initially, a novel torque error dynamic compensation method is introduced, enabling accurate mapping of phase torque to phase current. This method is characterized by its simplicity, ease of parameter setting, and its capability to bypass the complexities of solving the torque inverse model. Subsequently, an improved model-free predictive control algorithm is developed for current regulation. This algorithm substitutes the SRM's nonlinear model with a super local model and employs a linear extended state observer to estimate internal disturbances, such as model errors and parameter variations. The primary advantage of this algorithm is its data-driven nature, eliminating the dependence on precise mathematical models of the motor drive system. Ultimately, the reference voltage, generated by combining the current and disturbance estimation values from the linear extended state observer, is modulated via PWM and conveyed to the power converter to facilitate torque smoothing control. The efficacy of the proposed control method in enhancing parameter robustness and reducing torque ripple in SRM drive systems has been corroborated through simulations and experimental studies. [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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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Robust predictive torque control of switched reluctance motor based on linear extended state observer.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Fanqiang%22">Chen, Fanqiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fan_qiang_chen@163.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Cunhe%22">Li, Cunhe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> licunhe@sdut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Zeyang%22">Li, Zeyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 17685636173@163.com</i><br /><searchLink fieldCode="AR" term="%22Du%2C+Qinjun%22">Du, Qinjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> duqinjun@sdut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yin%2C+Wenliang%22">Yin, Wenliang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> wenliang.yin@sydney.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. Dec2024, Vol. 106 Issue 6, p7973-7984. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Pulse+width+modulation+transformers%22">Pulse width modulation transformers</searchLink><br /><searchLink fieldCode="DE" term="%22Torque+control%22">Torque control</searchLink><br /><searchLink fieldCode="DE" term="%22Reluctance+motors%22">Reluctance motors</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+references%22">Voltage references</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Switched+reluctance+motors%22">Switched reluctance motors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To enhance the performance and robustness of predictive torque control amidst modeling errors and parameter variations in switched reluctance motor (SRM) drive systems, this paper proposes a model-free predictive torque control strategy utilizing a linear extended state observer. Initially, a novel torque error dynamic compensation method is introduced, enabling accurate mapping of phase torque to phase current. This method is characterized by its simplicity, ease of parameter setting, and its capability to bypass the complexities of solving the torque inverse model. Subsequently, an improved model-free predictive control algorithm is developed for current regulation. This algorithm substitutes the SRM's nonlinear model with a super local model and employs a linear extended state observer to estimate internal disturbances, such as model errors and parameter variations. The primary advantage of this algorithm is its data-driven nature, eliminating the dependence on precise mathematical models of the motor drive system. Ultimately, the reference voltage, generated by combining the current and disturbance estimation values from the linear extended state observer, is modulated via PWM and conveyed to the power converter to facilitate torque smoothing control. The efficacy of the proposed control method in enhancing parameter robustness and reducing torque ripple in SRM drive systems has been corroborated through simulations and experimental studies. [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/s00202-024-02479-5
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 7973
    Subjects:
      – SubjectFull: Pulse width modulation transformers
        Type: general
      – SubjectFull: Torque control
        Type: general
      – SubjectFull: Reluctance motors
        Type: general
      – SubjectFull: Voltage references
        Type: general
      – SubjectFull: Automatic control systems
        Type: general
      – SubjectFull: Switched reluctance motors
        Type: general
    Titles:
      – TitleFull: Robust predictive torque control of switched reluctance motor based on linear extended state observer.
        Type: main
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            NameFull: Chen, Fanqiang
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            NameFull: Li, Cunhe
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            NameFull: Li, Zeyang
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            NameFull: Du, Qinjun
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            NameFull: Yin, Wenliang
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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            – TitleFull: Electrical Engineering
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