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<p>The sensorless control strategy of permanent magnet synchronous motors (PMSMs) enhances efficiency and reliability by eliminating physical sensors and related components. However, conventional sensorless control strategies are sensitive to parameter uncertainties and disturbances caused by factors like temperature and load fluctuations, which can compromise robustness and system stability. To address this, a novel parameter-free and sensorless Luenberger observer based on the ultralocal model (UM-LDO) is proposed. It observes disturbances separately by introducing the ultralocal model, accurately observes back electromotive force under parameter fluctuations, and reduces control errors through delay compensation. Compared with conventional Luenberger observers, UM-LDO offers higher control accuracy and lower parameter dependence. Experimental results on a hardware-in-the-loop (HIL) platform show that when parameter mismatches occur, UM-LDO reduces rotor electrical angle tracking error and back electromotive force observation waveform THD significantly, proving its effectiveness.</p>

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A parameter-free sensorless control strategy for PMSM drive based on ultralocal model

  • 期刊论文

  • 发表日期：

    2025年8月23日

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  • Zhongren Chen,
  • Zhangyong Chen,
  • Yong Chen,
  • Yang Zhong

摘要

The sensorless control strategy of permanent magnet synchronous motors (PMSMs) enhances efficiency and reliability by eliminating physical sensors and related components. However, conventional sensorless control strategies are sensitive to parameter uncertainties and disturbances caused by factors like temperature and load fluctuations, which can compromise robustness and system stability. To address this, a novel parameter-free and sensorless Luenberger observer based on the ultralocal model (UM-LDO) is proposed. It observes disturbances separately by introducing the ultralocal model, accurately observes back electromotive force under parameter fluctuations, and reduces control errors through delay compensation. Compared with conventional Luenberger observers, UM-LDO offers higher control accuracy and lower parameter dependence. Experimental results on a hardware-in-the-loop (HIL) platform show that when parameter mismatches occur, UM-LDO reduces rotor electrical angle tracking error and back electromotive force observation waveform THD significantly, proving its effectiveness.