应用扩展卡尔曼滤波和快速傅立叶变换诊断永磁同步发电机

L. Gliga, H. Chafouk, D. Popescu, C. Lupu
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引用次数: 10

摘要

影响永磁同步发电机最常见的故障是转子退磁、偏心(静态、动态和混合)和匝间短路。它们对定子电流频谱的影响是明显的,这是用FFT计算的。然而,对于风力涡轮机来说,电流的频谱随着风速的变化而变化。因此,所得结果可能不准确。本文提出了扩展卡尔曼滤波器与测量电流之间的残差,通过FFT用于故障诊断和识别。残差谱对风速变化不变化,但对故障敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of a Permanent Magnet Synchronous Generator using the Extended Kalman Filter and the Fast Fourier Transform
The most common faults which can affect a Permanent Magnet Synchronous Generator are the rotor demagnetization, eccentricity (static, dynamic and mixed) and inter-turn short circuit. Their effect is noticeable on the spectrum of the stator currents, which is computed using the FFT. However, for a wind turbine, the spectrum of the currents changes with the wind speed. Therefore, the obtained results may not be accurate. In this paper, the residuals between an Extended Kalman Filter and the measured currents are proposed to be used for fault diagnosis and identification, via the FFT. The spectrum of the residuals is invariant to changes in the wind speed, but sensitive to faults.
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