Hall-effect sensor fault identification in brushless DC motor drives using wavelets

E. Mitronikas, Dimitrios A. Papathanasopoulos, G. Athanasiou, S. Tsotoulidis
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引用次数: 13

Abstract

In this study, a diagnostic method to identify potential faults of Hall-effect sensors in brushless DC (BLDC) motor drives is proposed. The wavelet signal theory is evaluated as an alternative diagnostic method, able to identify either a breakdown or a misplacement of a position sensor. The proposed method combines the required noise insensitivity with the measurement of a single signal. Since the DC-link current of the inverter input is highly affected by erroneous position sensing and usually measured in BLDC drives, it was chosen as the only necessary informational signal. Consequently, the wavelet signal theory was assessed as the first stage of a fault tolerant control system (FTCS) and its effectiveness to identify both types of position sensor faults was experimentally verified.
基于小波的无刷直流电机霍尔传感器故障识别
本文提出了一种诊断无刷直流(BLDC)电机驱动中霍尔效应传感器潜在故障的方法。小波信号理论被评价为一种替代诊断方法,能够识别故障或位置传感器的错位。所提出的方法结合了所需的噪声不灵敏度和单个信号的测量。由于逆变器输入直流电流受位置传感误差的影响较大,且通常在无刷直流驱动中测量,因此选择它作为唯一必要的信息信号。因此,将小波信号理论作为容错控制系统(FTCS)的第一阶段进行了评估,并通过实验验证了其识别两种类型位置传感器故障的有效性。
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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