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Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation

机译:基于参数估计的多极PMSM匝间短路故障鲁棒诊断方法

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摘要

This paper proposes a diagnosis method for a multipole permanent magnet synchronous motor (PMSM) under an interturn short circuit fault. Previous works in this area have suffered from the uncertainties of the PMSM parameters, which can lead to misdiagnosis. The proposed method estimates the q-axis inductance (Lq) of the faulty PMSM to solve this problem. The proposed method also estimates the faulty phase and the value of G, which serves as an index of the severity of the fault. The q-axis current is used to estimate the faulty phase, the values of G and Lq. For this reason, two open-loop observers and an optimization method based on a particle-swarm are implemented. The q-axis current of a healthy PMSM is estimated by the open-loop observer with the parameters of a healthy PMSM. The Lq estimation significantly compensates for the estimation errors in high-speed operation. The experimental results demonstrate that the proposed method can estimate the faulty phase, G, and Lq besides exhibiting robustness against parameter uncertainties.
机译:提出了一种匝间短路故障下的多极永磁同步电动机的诊断方法。该领域以前的工作受到PMSM参数不确定性的困扰,这可能导致误诊。所提出的方法估计出故障PMSM的q轴电感(Lq)以解决此问题。提出的方法还估计了故障阶段和G值,G值是故障严重程度的指标。 q轴电流用于估计故障相位,G和Lq的值。因此,实现了两个开环观测器和基于粒子群的优化方法。开环观测器使用健康PMSM的参数估算健康PMSM的q轴电流。 Lq估计可显着补偿高速操作中的估计误差。实验结果表明,该方法除了对参数不确定性表现出鲁棒性外,还可以估计故障相位,G和Lq。

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