Rotor Position Observer Utilizing a Sinc-filter for Permanent Magnet Synchronous Motor

A. Chepiga, V. Podzorova, A. Anuchin, M. Hirz, Christoph Datlinger, Fedor Getmanenko
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Abstract

Abstraet ― Sensorless control systems became a standard for industrial drives. The sensorless control systems utilize observers for the estimation of the rotor position which is mandatory for torque control. One of the commonly used methods is a back-EMF observer, which estimates back-EMF and the rotor position of the permanent magnet synchronous motor as well. However, the accuracy of the observer is strictly dependent on the type of the filter used to distinguish back-EMF, which causes the phase delay in the position estimation. This paper proposes to use sinc-filter of the third order to achieve a higher accuracy in the position estimation. As the sequence coming from sliding mode observer has the properties of delta-sigma modulated signal, extra information can be extracted for the specified measurement time and provides higher accuracy than the use of simple moving average filter. The proposed algorithm was verified using MATLAB Simulink and showed better accuracy compared to conventional method.
基于自适应滤波器的永磁同步电机转子位置观测器
摘要:无传感器控制系统已成为工业驱动的标准。无传感器控制系统利用观测器来估计转子位置,这是扭矩控制所必需的。常用的一种方法是反电动势观测器,它可以同时估计出永磁同步电动机的反电动势和转子位置。然而,观测器的精度严格依赖于用于区分反电动势的滤波器的类型,这会导致位置估计中的相位延迟。本文提出使用三阶自适应滤波器来达到更高的位置估计精度。由于来自滑模观测器的序列具有δ - σ调制信号的特性,可以在指定的测量时间内提取额外的信息,并且比使用简单的移动平均滤波器提供更高的精度。在MATLAB Simulink中对该算法进行了验证,与传统方法相比,该算法具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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