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<p>Interior permanent magnet synchronous motors (IPMSMs) equipped with an LC sinusoidal filter form an LCL network, and the stability of the flux-oriented control (FOC) is affected due to the inherent resonance phenomenon. The stabilization of FOC based on active damping (AD) for IPMSMs with an LC sinusoidal filter is studied in this article. The effects of the resonance phenomenon are analyzed and the relationships between the proportional–integral (PI) controllers in the current loops of the FOC, the AD gains, and the parameters of the LC sinusoidal filter are studied. Meanwhile, the stable regions of the current control loops and the AD gains are given to ensure stability. Furthermore, it is difficult to satisfy static and dynamic performance simultaneously using only the fixed parameters of the PI controller while ensuring stability. Hence, an improved self-tuning current controller is proposed to achieve online parameter optimization. This controller achieves satisfactory performance across its entire stable range without discrete stages and under different operating conditions. The proposed method is verified by experimental results.</p>

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Improved field-oriented control based on self-tuning current controller for interior permanent magnet synchronous motors equipped with LC sinusoidal filter

  • 期刊论文

  • 发表日期：

    2025年8月4日

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  • Jian Wang,
  • Yadi Yuan,
  • Xiang Wu,
  • Haifeng Yue

摘要

Interior permanent magnet synchronous motors (IPMSMs) equipped with an LC sinusoidal filter form an LCL network, and the stability of the flux-oriented control (FOC) is affected due to the inherent resonance phenomenon. The stabilization of FOC based on active damping (AD) for IPMSMs with an LC sinusoidal filter is studied in this article. The effects of the resonance phenomenon are analyzed and the relationships between the proportional–integral (PI) controllers in the current loops of the FOC, the AD gains, and the parameters of the LC sinusoidal filter are studied. Meanwhile, the stable regions of the current control loops and the AD gains are given to ensure stability. Furthermore, it is difficult to satisfy static and dynamic performance simultaneously using only the fixed parameters of the PI controller while ensuring stability. Hence, an improved self-tuning current controller is proposed to achieve online parameter optimization. This controller achieves satisfactory performance across its entire stable range without discrete stages and under different operating conditions. The proposed method is verified by experimental results.