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Demagnetization Fault Diagnosis in BLDC Motor Using Low-Cost Hall Effect Sensors

机译:使用低成本霍尔效应传感器的BLDC电机退磁故障诊断

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This paper proposes a demagnetization fault diagnostic method for a brushless direct current (BLDC) motor using Hall effect (HE) sensor sequence. The low-cost Hall effect sensors positioned 120° apart are used on the stator of a BLDC motor in order to monitor the change in the sequence during demagnetization fault conditions. Demagnetization effect in the permanent magnets (PMs) can be due to various causes;however, the broken PM defects are taken in our study. In contrary to the healthy operation of the motor, the significant change observed in the Hall sequence pattern during the demagnetization fault conditions is used as the fault signatures in this study. The change in machine quantities in terms of phase currents and magnetic flux density (B_M) characteristics is investigated numerically through a developed co-simulation model of a BLDC motor with the Simplorcr drive circuit in Maxwell 2D tool. The numerically obtained results are validated experimentally, and the change in Hall sequence signals is investigated in order to detect, diagnose and identify the demagnetization fault in the BLDC motor. The diagnosis of the broken PM demagnetization fault using the low-cost Hall sensor's sequence is the novel contribution to this work.
机译:本文提出了一种基于霍尔效应(HE)传感器序列的无刷直流(BLDC)电机去磁故障诊断方法。在BLDC电机的定子上使用相距120°的低成本霍尔效应传感器,以便在退磁故障情况下监控顺序的变化。永磁体(PMs)的退磁效果可能是由多种原因引起的;但是,在我们的研究中采用了破碎的PM缺陷。与电动机的正常运行相反,在退磁故障条件下霍尔序列模式中观察到的显着变化被用作本研究中的故障信号。通过在Maxwell 2D工具中使用Simplorcr驱动电路开发的BLDC电机与Simplorcr的共同仿真模型,对相电流和磁通密度(B_M)特性方面的机器数量变化进行了数值研究。数值获得的结果通过实验进行验证,并研究霍尔序列信号的变化,以便检测,诊断和识别BLDC电机中的退磁故障。使用低成本霍尔传感器的序列诊断破碎的PM退磁故障是这项工作的新贡献。

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