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<p>In this article, the performance improvement of the indirect field-oriented control (IFOC) is proposed based on the predictive speed and model predictive current controllers (PS and MPC controllers) for the permanent magnet synchronous motors (PMSM) drive. The design of indirect vector control requires the differential equations of PMSM. This paper therefore presents a mathematical model of the PMSM. The main objectives of this work are to improve the speed response of the PMSM compared with the reference speed and reduce the torque ripple of the PMSM. Therefore, the predictive speed controller and the model predictive current controller are proposed. The testing of PMSM parameters is carried out in the laboratory. To verify and evaluate the proposed controller, the indirect vector control based on the predictive controls was implemented in the digital signal processor (eZdsp F28335) by the processor-in-the-loop (PIL) embedded software technique. From the results of the PIL technique testing, the root mean square errors of torque and speed by the PS and MPC controllers were less than the conventional controllers. Also, the tracking accuracies of torque and speed were accomplished by the proposed approach. These values indicate that the proposed controller provides fast and accurate PMSM speed tracking performance and can reduce the PMSM torque ripple.</p>

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Predictive Speed and Model Predictive Current Controllers of Indirect Field-Oriented Control for Permanent Magnet Synchronous Motors

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Natthawut Kongchoo,
  • Chakrit Panpean,
  • Sasiya Udomsuk,
  • Warit Wichakool,
  • Mongkol Saejia,
  • Kongpol Areerak,
  • Nattha Jindapetch,
  • Phonsit Santiprapan

摘要

In this article, the performance improvement of the indirect field-oriented control (IFOC) is proposed based on the predictive speed and model predictive current controllers (PS and MPC controllers) for the permanent magnet synchronous motors (PMSM) drive. The design of indirect vector control requires the differential equations of PMSM. This paper therefore presents a mathematical model of the PMSM. The main objectives of this work are to improve the speed response of the PMSM compared with the reference speed and reduce the torque ripple of the PMSM. Therefore, the predictive speed controller and the model predictive current controller are proposed. The testing of PMSM parameters is carried out in the laboratory. To verify and evaluate the proposed controller, the indirect vector control based on the predictive controls was implemented in the digital signal processor (eZdsp F28335) by the processor-in-the-loop (PIL) embedded software technique. From the results of the PIL technique testing, the root mean square errors of torque and speed by the PS and MPC controllers were less than the conventional controllers. Also, the tracking accuracies of torque and speed were accomplished by the proposed approach. These values indicate that the proposed controller provides fast and accurate PMSM speed tracking performance and can reduce the PMSM torque ripple.