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如何快速地对永磁同步电机(permanent magnetic synchronous machine, PMSM)转子位置实现精确估计是实现PMSM无传感器控制的关键。然而，PMSM驱动系统的反电势谐波问题及其参数时变的特点影响基于锁相环(phase locked loop, PLL)转子位置估计方法的速度和精度。由于PMSM定子反电势中包含大量谐波，已有基于锁相环的滤波方法无法根据转速变化自适应调节频率，导致变转速工况下转子位置估计精度降低。为此，提出一种基于自适应混合滤波器的PLL估计方法，在分析PMSM包含的反电势谐波成分后，设计一种调节参数的混合自适应滤波器(hybrid adaptive filter based PLL,HAF-PLL)。通过仿真实验验证了所提方法对反电势谐波具有良好的滤波效果，能够准确检测出PMSM的转子位置。
Abstract：As permanent magnet synchronous motor(PMSM) is increasingly being widely used in industry and agriculture, achieving quick and accurate estimation of the rotor position of PMSM is crucial for realizing sensorless control.However, the back electromotive force harmonics and the time-varying nature of PMSM parameters seriously affect the speed and accuracy of rotor position estimation based on phase-locked loop(PLL) methods.Due to the large amount of harmonics contained in the stator back EMF of PMSM,the existing PLL-based filtering methods cannot adaptively adjust the frequency according to changes in speed, resulting in low accuracy of rotor position estimation under variable speed conditions.To address this issue, a PLL estimation method based on an adaptive hybrid filter is proposed.Based on the analysis of the harmonic components of the back electromotive force contained in PMSM,a hybrid adaptive filter based PLL(HAF-PLL) with adjustable parameters is designed.Simulation and experimental verification demonstrate that the proposed method has good filtering effects on back EMF harmonics and can accurately detect the rotor position of PMSM.
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基本信息:
DOI：
中图分类号:TM341;TP273
引用信息:
[1]于林鑫,费连越,盛肖炜.基于HAF-PLL的PMSM无位置传感器控制研究[J].沈阳理工大学学报,2025,44(02):13-19+27.
基金信息:
辽宁省教育厅高等学校基本科研项目(JYTQN2023063); 2023年引进高层次人才科研支持经费项目(1010147001229)