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Parameter-Free Model Predictive Current Control for PMSM Based on Current Variation Estimation without Position Sensor

Author

Listed:
  • Laiwu Luo

    (School of Electrical Engineering, Nantong University, Nantong 226019, China)

  • Feng Yu

    (School of Electrical Engineering, Nantong University, Nantong 226019, China)

  • Lei Ren

    (School of Electrical Engineering, Nantong University, Nantong 226019, China)

  • Cheng Lu

    (School of Electrical Engineering, Nantong University, Nantong 226019, China)

Abstract

To remove parameter dependence in existing sensorless control strategies, a parameter-free model predictive current control is proposed for permanent magnet synchronous motor without any position sensor. First, the current variation during one sampling period is analyzed and divided into two elements: natural attenuation and forced response. Second, recursive least squares algorithm is utilized to estimate the future current variation so that the model predictive current control can be successfully executed paying no attention to motor parameters. Meanwhile, the position information is obtained by the arc tangent function according to the estimated forced response of current variation. At last, experimental results verify that the estimation errors of rotor position are reduced to around 0.1 rad with smaller current prediction error even at low speed where no motor parameters are required.

Suggested Citation

  • Laiwu Luo & Feng Yu & Lei Ren & Cheng Lu, 2023. "Parameter-Free Model Predictive Current Control for PMSM Based on Current Variation Estimation without Position Sensor," Energies, MDPI, vol. 16(19), pages 1-14, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6792-:d:1246649
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    References listed on IDEAS

    as
    1. Jiaxi Liu & Jiwei Cao & Liyi Li, 2023. "A Novel Method for Estimating the Position and Speed of a Winding Segmented Permanent Magnet Linear Motor," Energies, MDPI, vol. 16(8), pages 1-15, April.
    2. He Wang & Tao Wu & Youguang Guo & Gang Lei & Xinmei Wang, 2023. "Predictive Current Control of Sensorless Linear Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 16(2), pages 1-14, January.
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