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2000
Volume 19, Issue 1
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Introduction

The sensorless control technology for permanent magnet synchronous motors typically employs a sliding mode observer to obtain rotor position and speed information based on the back electromotive force. This study aims to improve the inherent chattering and poor observation performance of the traditional sliding mode observer (SMO) in the rotor position estimation of the surface-mounted permanent magnet synchronous motor.

Methods

The super twisting algorithm (STA) is introduced to improve the traditional SMO, and the super twisting sliding mode observer (STA-SMO) is constructed to solve the chattering problem of the traditional SMO. According to different speeds, the sliding mode variable gain coefficient is designed, and a continuous function () is introduced as a switching function to make the switching of the sliding mode surface smoother. Considering the problem of stator current distortion caused by dead zone, the harmonic suppression strategy of adaptive notch filter (ANF) based on the least mean square (LMS) algorithm is studied and combined with the STA-SMO method to construct a position sensorless control system considering current harmonic compensation. Comparative verification under different speed conditions is carried out to verify the control performance of the method studied in this study under a wide speed range.

Results

Firstly, the speed information is introduced as a variable into the gain coefficient of the traditional STA-SMO, and the parameters are adjusted with speed, which solves the parameter matching problem in different speed domains of STA-SMO and effectively improves the stability of the observer. On this basis, the current harmonic compensation strategy based on LMS-ANF is introduced. According to the characteristics of the adaptive filter, the harmonic current of a specific wave can be extracted, and the acquisition current is compensated to suppress the influence of current harmonics on the estimation results of the observer, which further improves the accuracy of the observer.

Discussion

The proposed STA-SMO with LMS-ANF harmonic compensation demonstrates superior performance over traditional SMO, effectively reducing chattering and improving stability across wide speed ranges. Experimental results confirm its robustness under dynamic loads and adaptability to speed transitions, with chattering reduced by 1.1%. The LMS-ANF strategy mitigates current harmonics, enhancing low-speed accuracy. While the method balances simplicity and reliability, future work could address near-zero-speed performance and computational efficiency for broader industrial applications.

Conclusion

The STA-SMO + LMS-ANF proposed in this study can effectively improve the anti-interference ability of the observer, adapt to the application of a wide speed range, and have strong robustness and higher observer accuracy.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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2025-04-11
2025-12-09
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References

  1. ZhouC. YangG. SuJ. PWM strategy with minimum harmonic distortion for dual three-phase permanent-magnet synchronous motor drives operating in the overmodulation region.IEEE Trans. Power Electron.20163121367138010.1109/TPEL.2015.2414437
    [Google Scholar]
  2. ZhouQ. MaC. LiuN. ZhangY. ChenS. Coordination Control of Dual-Redundancy Permanent Magnet Synchronous Motor Servo System.2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)Wuhan, China, 01 May 2018, pp. 2039-2044.10.1109/ICIEA.2018.8398045
    [Google Scholar]
  3. XuW. JunejoA.K. TangY. ShahabM. Rahman HabibH.U. LiuY. HuangS. Composite speed control of PMSM drive system based on finite time sliding mode observer.IEEE Access2021915180315181310.1109/ACCESS.2021.3125316
    [Google Scholar]
  4. YangQ. MaoK. ZhengS. ZhouC. ZhongQ. Position sensorless drive with online parameters estimation for magnetic suspension centrifugal compressor.IEEE Trans. Power Electron.20233889384939410.1109/TPEL.2023.3266732
    [Google Scholar]
  5. GuoL. WangH. JinN. DaiL. CaoL. LuoK. A Speed Sensorless Control Method for Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Observer.2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)Xi'an, China, 19-21 June 2019, pp. 1179-1184.10.1109/ICIEA.2019.8834074
    [Google Scholar]
  6. FengY. YuX. HanF. High-order terminal sliding-mode observer for parameter estimation of a permanent-magnet synchronous motor.IEEE Trans. Ind. Electron.201360104272428010.1109/TIE.2012.2213561
    [Google Scholar]
  7. ZhangZ. XiongG. WangJ. ZhangX. WangS. WangX. A SMO Based Position Sensorless Permanent Magnet Synchronous Motor Control Strategy.2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)Kristiansand, Norway, 09-13 Nov 2020, pp. 373-379.10.1109/ICIEA48937.2020.9248232
    [Google Scholar]
  8. WangT. WangB. YuY. XuD. Fast high-order terminal sliding-mode current controller for disturbance compensation and rapid convergence in induction motor drives.IEEE Trans. Power Electron.20233889593960510.1109/TPEL.2023.3277886
    [Google Scholar]
  9. XuW. JiangY. MuC. Novel composite sliding mode control for PMSM drive system based on disturbance observer.IEEE Trans. Appl. Superconduc.20162671510.1109/TASC.2016.2611623
    [Google Scholar]
  10. ZhangX. JiangQ. Research on Sensorless Control of PMSM Based on Fuzzy Sliding Mode Observer.2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)Chengdu, China, 01-04 Aug 2021, pp. 213-218.10.1109/ICIEA51954.2021.9516134
    [Google Scholar]
  11. LiK. DingJ. SunX. TianX. Overview of sliding mode control technology for permanent magnet synchronous motor system.IEEE Access202412716857170410.1109/ACCESS.2024.3402983
    [Google Scholar]
  12. LinT.C. ZhuZ.Q. Sensorless operation capability of surface-mounted permanent-magnet machine based on high-frequency signal injection methods.IEEE Trans. Ind. Appl.20155132161217110.1109/TIA.2014.2382762
    [Google Scholar]
  13. Wireko-BrobbyA. HuY. WangG. GongC. LangW. ZhangZ. Analysis of the sources of error within PMSM-based electric powertrains: A review.IEEE Trans. Transp. Electrif.20241036370640610.1109/TTE.2023.3337865
    [Google Scholar]
  14. WoldegiorgisA.T. GeX. ZuoY. WangH. HassanM. Sensorless control of interior permanent magnet synchronous motor drives considering resistance and permanent magnet flux linkage variation.IEEE Trans. Ind. Electron.20237087716773010.1109/TIE.2022.3224152
    [Google Scholar]
  15. ZhangZ. YangX. WangW. ChenK. CheungN.C. PanJ. Enhanced sliding mode control for PMSM speed drive systems using a novel adaptive sliding mode reaching law based on exponential function.IEEE Trans. Ind. Electron.20247110119781198810.1109/TIE.2023.3347845
    [Google Scholar]
  16. LiuY. ChenY. WenH. ZhangB. LiuC. A novel primary-controlled wireless permanent magnet synchronous motor without position sensor.IEEE Trans. Power Electron.20243910136131362910.1109/TPEL.2024.3423365
    [Google Scholar]
  17. LiangD. LiJ. QuR. KongW. Adaptive second-order sliding-mode observer for PMSM sensorless control considering VSI nonlinearity.IEEE Trans. Power Electron.201833108994900410.1109/TPEL.2017.2783920
    [Google Scholar]
  18. YuanQ. MaY. HuangY. XiaK. YuY. Adaptable sliding mode observer-based sensorless control with harmonic current compensation for dual three-phase PMSMs.J. Power Electr.202424121889189810.1007/s43236‑024‑00863‑9
    [Google Scholar]
  19. NurettinA. İnançN. Sensorless vector control for induction motor drive at very low and zero speeds based on an adaptive-gain super-twisting sliding mode observer.IEEE J. Emerg. Sel. Top. Power Electron.20231144332433910.1109/JESTPE.2023.3265352
    [Google Scholar]
  20. WangS. WangH. TangC. LiJ. LiangD. QuY. Research on control strategy of permanent magnet synchronous motor based on fast terminal super-twisting sliding mode observer.IEEE Access20241214190514191510.1109/ACCESS.2024.3470523
    [Google Scholar]
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