An in-phase filter-based flux observation strategy for sensorless control of PMSMs.

Lei Zheng, Yanhui Tong, Hamid Reza Karimi, Bixuan Huang
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Abstract

Due to the complexity of determining the initial rotor flux and detecting errors, conventional rotor flux observation methods are easily affected by direct current (DC) components and harmonics. To address this issue, this paper proposes an in-phase filter (IPF)-based rotor flux observation strategy for sensorless control of permanent magnet synchronous machines (PMSMs). The core components of the IPF consist of a double second-order generalized integrator (DSOGI) and a phase angle compensation transfer function (PACTF). The DSOGI provides a accurate electrical angular frequency, while the PACTF implements a phase correction to the vq' signals. By employing IPF structure, accurate observations for rotor flux, electronic speed, and rotor position are achieved, which can be effectively used in the sensorless control of PMSMs, eliminating the need for magnitude and phase compensations. Finally, the proposed observation strategy is applied to an experimental bench of a PMSM, and its effectiveness is illustrated by experimental results. From experimental results, it can be concluded that the IPF is significantly better than the LPF, and 5% more accurate than the observer based on cascade second-order generalized integral(CSOGI) overall.

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基于同相滤波器的磁通量观测策略,用于无传感器控制 PMSM。
由于确定初始转子磁通量和检测误差的复杂性,传统的转子磁通量观测方法很容易受到直流(DC)分量和谐波的影响。针对这一问题,本文提出了一种基于同相滤波器(IPF)的转子磁通观测策略,用于永磁同步电机(PMSM)的无传感器控制。IPF 的核心组件包括双二阶广义积分器 (DSOGI) 和相位角补偿传递函数 (PACTF)。DSOGI 提供精确的电角度频率,而 PACTF 则对 vq'信号进行相位校正。通过采用 IPF 结构,可实现对转子磁通、电子速度和转子位置的精确观测,从而可有效用于 PMSM 的无传感器控制,无需进行幅值和相位补偿。最后,将提出的观测策略应用于 PMSM 的实验台,并通过实验结果说明其有效性。从实验结果中可以得出结论,IPF 的效果明显优于 LPF,且总体上比基于级联二阶广义积分(CSOGI)的观测器精确 5%。
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