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An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor

Author

Listed:
  • Yujiao Zhao

    (Shandong Province Key Laboratory of Industrial Control Technology, College of Automation, Qingdao University, Qingdao 266071, China)

  • Haisheng Yu

    (Shandong Province Key Laboratory of Industrial Control Technology, College of Automation, Qingdao University, Qingdao 266071, China)

  • Shixian Wang

    (School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, Weihai 264209, China)

Abstract

This article presents an improved super-twisting high-order sliding mode observer for permanent magnet synchronous motors to achieve high-performance sensorless control. The proposed observer is able to simultaneously estimate rotor position and speed, as well as track parameter disturbances online. Then, according to the back-EMF model, the sensorless observer is further constructed to improve the estimation effect. The estimated rotor position and speed are used to replace the actual values detected by the sensor, and the estimated parameter disturbances are considered as feedback values to compensate the command voltage. In this way, not only is the estimation accuracy improved, but the robustness against uncertainties is also enhanced. Simulation and experimental results show that the proposed observer can effectively track the rotor position and speed and obtain good dynamic and steady-state performance.

Suggested Citation

  • Yujiao Zhao & Haisheng Yu & Shixian Wang, 2021. "An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 14(19), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6047-:d:641055
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    References listed on IDEAS

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    1. Ming-Shyan Wang & Tse-Ming Tsai, 2017. "Sliding Mode and Neural Network Control of Sensorless PMSM Controlled System for Power Consumption and Performance Improvement," Energies, MDPI, vol. 10(11), pages 1-15, November.
    2. Anxing Liu & Haisheng Yu, 2020. "Smooth-Switching Control of Robot-Based Permanent-Magnet Synchronous Motors via Port-Controlled Hamiltonian and Feedback Linearization," Energies, MDPI, vol. 13(21), pages 1-16, November.
    3. Meng Shao & Yongting Deng & Hongwen Li & Jing Liu & Qiang Fei, 2019. "Sliding Mode Observer-Based Parameter Identification and Disturbance Compensation for Optimizing the Mode Predictive Control of PMSM," Energies, MDPI, vol. 12(10), pages 1-22, May.
    4. Mengting Ye & Tingna Shi & Huimin Wang & Xinmin Li & Changliang Xia, 2019. "Sensorless-MTPA Control of Permanent Magnet Synchronous Motor Based on an Adaptive Sliding Mode Observer," Energies, MDPI, vol. 12(19), pages 1-15, October.
    5. Danyang Bao & Huiming Wu & Ruiqi Wang & Fei Zhao & Xuewei Pan, 2020. "Full-Order Sliding Mode Observer Based on Synchronous Frequency Tracking Filter for High-Speed Interior PMSM Sensorless Drives," Energies, MDPI, vol. 13(24), pages 1-19, December.
    6. 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.
    7. Peng Gao & Guangming Zhang & Xiaodong Lv, 2021. "Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives," Energies, MDPI, vol. 14(4), pages 1-15, February.
    8. Mingcheng Lyu & Gongping Wu & Derong Luo & Fei Rong & Shoudao Huang, 2019. "Robust Nonlinear Predictive Current Control Techniques for PMSM," Energies, MDPI, vol. 12(3), pages 1-19, January.
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    Cited by:

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