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A Composite Control Method for Permanent Magnet Synchronous Motor System with Nonlinearly Parameterized-Uncertainties

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Listed:
  • Shenghui Li

    (School of Electronic and Optical Engineering, Nanjing University of Science and Technology Zijin College, Nanjing 210023, China)

  • Zhenxing Sun

    (School of Electronic and Control Science, Nanjing Tech University, Nanjing 211816, China)

  • Ying Shi

    (School of Electronic and Optical Engineering, Nanjing University of Science and Technology Zijin College, Nanjing 210023, China)

Abstract

In many industrial practices, it needs a permanent magnet synchronous motor to provide enough torque, such as autonomous vehicle driving. In the operation of a permanent magnet synchronous motor, the nonlinearly parameterized-uncertainties degrade control performances, causing the instability of motor speed and output torques. Based on the analysis of temperature effects and friction torque model, a composite controller is proposed in this paper which considers model uncertainties and external disturbances. An adaptive controller involving an online time-varying scaling gain is employed to eliminate the influence of nonlinearly parameterized-uncertainties. In addition, an extended state observer (ESO) is used to estimate the disturbance in the control system in which the estimated value is used to compensate for the feed-forward. Numerical simulation and experiment are performed and the results show that the proposed method may alleviate the performance degradation due to nonlinearly parameterized-uncertainties and disturbances. Simultaneously, it may improve the stability and anti-disturbance capacities of the system.

Suggested Citation

  • Shenghui Li & Zhenxing Sun & Ying Shi, 2022. "A Composite Control Method for Permanent Magnet Synchronous Motor System with Nonlinearly Parameterized-Uncertainties," Energies, MDPI, vol. 15(19), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7354-:d:935090
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    References listed on IDEAS

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    1. Mingfei Huang & Yongting Deng & Hongwen Li & Meng Shao & Jing Liu, 2021. "Integrated Uncertainty/Disturbance Suppression Based on Improved Adaptive Sliding Mode Controller for PMSM Drives," Energies, MDPI, vol. 14(20), pages 1-19, October.
    2. Kifayat Ullah & Jaroslaw Guzinski & Adeel Feroz Mirza, 2022. "Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation," Energies, MDPI, vol. 15(3), pages 1-13, February.
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