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A Super-Twisting Sliding-Mode Stator Flux Observer for Sensorless Direct Torque and Flux Control of IPMSM

Author

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  • Junlei Chen

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Shuo Chen

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiang Wu

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Guojun Tan

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Jianqi Hao

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The scheme based on direct torque and flux control (DTFC) as well as active flux is a good choice for the interior permanent magnet synchronous motor (IPMSM) sensorless control. The precision of the stator flux observation is essential for this scheme. However, the performance of traditional observers like pure integrator and the low-pass filter (LPF) is severely deteriorated by disturbances, especially dc offset. Recently, a sliding-mode stator flux observer (SMFO) was proposed to reduce the dc offset in the estimated stator flux. However, it cannot eliminate the dc offset totally and will cause the chattering problem. To solve these problems, a novel super-twisting sliding-mode stator flux observer (STSMFO) is proposed in this paper. Compared with SMFO, STSMFO can reduce the chattering and fully eliminate the dc offset without any amplitude and phase compensation. Then, the precision of the stator flux and rotor position can be greatly improved over a wide speed region. The detailed mathematical analysis has been given for comparing it with another three traditional observers. The numerical simulations and experimental testing with an IPMSM drive platform have been implemented to verify the capability of the proposed sensorless scheme.

Suggested Citation

  • Junlei Chen & Shuo Chen & Xiang Wu & Guojun Tan & Jianqi Hao, 2019. "A Super-Twisting Sliding-Mode Stator Flux Observer for Sensorless Direct Torque and Flux Control of IPMSM," Energies, MDPI, vol. 12(13), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2564-:d:245396
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    References listed on IDEAS

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    1. Jyun-You Chen & Shih-Chin Yang & Kai-Hsiang Tu, 2018. "Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection," Energies, MDPI, vol. 11(9), pages 1-15, August.
    2. Shuo Chen & Xiao Zhang & Xiang Wu & Guojun Tan & Xianchao Chen, 2019. "Sensorless Control for IPMSM Based on Adaptive Super-Twisting Sliding-Mode Observer and Improved Phase-Locked Loop," Energies, MDPI, vol. 12(7), pages 1-19, March.
    3. Jian Li & Xiaoyan Huang & Feng Niu & Chaojie You & Lijian Wu & Youtong Fang, 2018. "Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs," Energies, MDPI, vol. 11(8), pages 1-16, August.
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    Cited by:

    1. Ting Yang & Takahiro Kawaguchi & Seiji Hashimoto & Wei Jiang, 2020. "Switching Sequence Model Predictive Direct Torque Control of IPMSMs for EVs in Switch Open-Circuit Fault-Tolerant Mode," Energies, MDPI, vol. 13(21), pages 1-15, October.
    2. Jongwon Choi, 2021. "Regression Model-Based Flux Observer for IPMSM Sensorless Control with Wide Speed Range," Energies, MDPI, vol. 14(19), pages 1-18, October.
    3. Željko Plantić & Tine Marčič & Miloš Beković & Gorazd Štumberger, 2019. "Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation," Energies, MDPI, vol. 12(18), pages 1-14, September.

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