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<p>This paper presents an enhanced high-frequency (HF) rotating signal injection method for the sensorless control of interior permanent magnet synchronous motor (IPMSM). Conventional sensorless control techniques are frequently compromised by a range of adverse factors, such as stator resistance variations, fundamental frequency interference, digital system delays, filter-induced phase shifts, cross-saturation effects, and inverter nonlinearities, all of which lead to a degradation in the accuracy of rotor position estimation. To tackle these challenges, the HF signal is strategically injected into the estimated synchronous reference frame, and the product of the d-q axis currents is utilized to estimate the rotor position. This innovative approach effectively mitigates the adverse impacts of the aforementioned factors, thereby significantly enhancing the estimation accuracy. Furthermore, this study conducts an in-depth investigation into inverter nonlinearities and implements corresponding compensation measures, aiming to reduce the six-times harmonic ripple in the estimated position. Experimental validation on an 18&#xa0;kW IPMSM drive system demonstrates that the proposed sensorless control strategy achieves high-precision rotor position estimation with superior dynamic performance, thus confirming its practical applicability in industrial scenarios.</p>

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Enhancing IPMSM sensorless control to mitigate adverse factors through positive and negative sequence component utilization

  • 期刊论文

  • 发表日期：

    2025年8月26日

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  • Haoyuan Li,
  • Guanjun Li,
  • Chun Liu,
  • Ran Bi,
  • Jilei Wang

摘要

This paper presents an enhanced high-frequency (HF) rotating signal injection method for the sensorless control of interior permanent magnet synchronous motor (IPMSM). Conventional sensorless control techniques are frequently compromised by a range of adverse factors, such as stator resistance variations, fundamental frequency interference, digital system delays, filter-induced phase shifts, cross-saturation effects, and inverter nonlinearities, all of which lead to a degradation in the accuracy of rotor position estimation. To tackle these challenges, the HF signal is strategically injected into the estimated synchronous reference frame, and the product of the d-q axis currents is utilized to estimate the rotor position. This innovative approach effectively mitigates the adverse impacts of the aforementioned factors, thereby significantly enhancing the estimation accuracy. Furthermore, this study conducts an in-depth investigation into inverter nonlinearities and implements corresponding compensation measures, aiming to reduce the six-times harmonic ripple in the estimated position. Experimental validation on an 18 kW IPMSM drive system demonstrates that the proposed sensorless control strategy achieves high-precision rotor position estimation with superior dynamic performance, thus confirming its practical applicability in industrial scenarios.