Optimizing Sensorless Control in PMSM Based on the TOGIFO-X Flux Observer Algorithm.

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Title: Optimizing Sensorless Control in PMSM Based on the TOGIFO-X Flux Observer Algorithm.
Authors: Liang, Jianwei1, Pan, Shuxin1 2655018491@qq.com, Yue, Jie1, Tian, Jiaming1, Sun, Jingxuan1
Source: Progress in Electromagnetics Research C. 2026, Vol. 166, p176-185. 10p.
Subjects: Sensorless control systems, Permanent magnet motors, Observability (Control theory), Signal processing, Integrating circuits
Abstract: Flux observers have been extensively employed in the sensorless control of permanent magnet synchronous motors (PMSMs). Traditional flux observers are susceptible to DC offset and high-order harmonics during flux estimation. To address this issue, this paper proposes an improved third-order generalized integrator (TOGIFO-X), which combines a third-order generalized integrator with a low-pass filter. First, the relationship between the flux observation error and rotor position error is established. Then, through rigorous mathematical derivation and Bode-plot analysis, the proposed TOGIFO-X was compared with three conventional flux observers, demonstrating its capability to effectively eliminate both the DC component and high-order harmonic components in the estimated rotor flux without introducing any adverse effects on the amplitude or phase of the fundamental wave. Finally, the effectiveness of the improved third-order generalized integrator is verified via simulations and a 0.75 kW surface-mounted PMSM (SPMSM) experimental platform. The experimental results indicate that TOGIFO-X significantly enhances the reduction in flux estimation error and the elimination of DC bias, thereby contributing to improved position estimation accuracy and advances in sensorless control technology. [ABSTRACT FROM AUTHOR]
Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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: Optimizing Sensorless Control in PMSM Based on the TOGIFO-X Flux Observer Algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2026, Vol. 166, p176-185. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Sensorless+control+systems%22">Sensorless control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Permanent+magnet+motors%22">Permanent magnet motors</searchLink><br /><searchLink fieldCode="DE" term="%22Observability+%28Control+theory%29%22">Observability (Control theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Integrating+circuits%22">Integrating circuits</searchLink>
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  Data: Flux observers have been extensively employed in the sensorless control of permanent magnet synchronous motors (PMSMs). Traditional flux observers are susceptible to DC offset and high-order harmonics during flux estimation. To address this issue, this paper proposes an improved third-order generalized integrator (TOGIFO-X), which combines a third-order generalized integrator with a low-pass filter. First, the relationship between the flux observation error and rotor position error is established. Then, through rigorous mathematical derivation and Bode-plot analysis, the proposed TOGIFO-X was compared with three conventional flux observers, demonstrating its capability to effectively eliminate both the DC component and high-order harmonic components in the estimated rotor flux without introducing any adverse effects on the amplitude or phase of the fundamental wave. Finally, the effectiveness of the improved third-order generalized integrator is verified via simulations and a 0.75 kW surface-mounted PMSM (SPMSM) experimental platform. The experimental results indicate that TOGIFO-X significantly enhances the reduction in flux estimation error and the elimination of DC bias, thereby contributing to improved position estimation accuracy and advances in sensorless control technology. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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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      – Type: doi
        Value: 10.2528/PIERC26010704
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 176
    Subjects:
      – SubjectFull: Sensorless control systems
        Type: general
      – SubjectFull: Permanent magnet motors
        Type: general
      – SubjectFull: Observability (Control theory)
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Integrating circuits
        Type: general
    Titles:
      – TitleFull: Optimizing Sensorless Control in PMSM Based on the TOGIFO-X Flux Observer Algorithm.
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            NameFull: Liang, Jianwei
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            NameFull: Pan, Shuxin
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            NameFull: Yue, Jie
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            NameFull: Tian, Jiaming
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            NameFull: Sun, Jingxuan
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            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
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              Value: 166
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            – TitleFull: Progress in Electromagnetics Research C
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