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Frequency-Adaptive Complex-Coefficient Filter-Based Enhanced Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor Drives

机译:基于频率自适应复系数滤波器的增强滑模观测器,用于永磁同步电动机驱动器的无传感器控制

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摘要

In order to reduce the chattering and phase shift, this article proposes an enhanced sliding mode observer (SMO) for the sensorless control of permanent magnet synchronous motor (PMSM). In the conventional SMO, a low-pass filter (LPF) is commonly employed to extract the back electromotive forces (EMFs) from the sliding mode switching function, which brings the phase shift and degrades the precision of position and speed estimations. In this article, a frequency-adaptive complex-coefficient filter (FACCF) is adopted to replace the LPF. Since the FACCF has no phase shift and amplitude attenuation at the central frequency, it can be used to extract the EMFs without distortion while the chattering can also be suppressed. For an easy parameter design, the normalized phase-locked loop is used to obtain accurately the position and speed estimations. The experiments are carried out on a 3-kW PMSM drive, and the results verify the effectiveness of the proposed method.
机译:为了减少颤动和相移,本文提出了一种用于永磁同步电动机(PMSM)的无传感器控制的增强型滑模观察器(SMO)。在传统的SMO中,通常采用低通滤波器(LPF)从滑动模式切换功能中提取反电动势(EMF),这会引起相移并降低位置和速度估计的精度。本文采用频率自适应复系数滤波器(FACCF)代替了LPF。由于FACCF在中心频率处没有相移和幅度衰减,因此它可以用于提取无失真的EMF,同时还可以抑制颤动。为了简化参数设计,使用归一化锁相环来准确获取位置和速度估算值。实验是在3 kW PMSM驱动器上进行的,结果验证了所提方法的有效性。

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