Diagnosis of switch open-circuit fault in PM brushless DC motor drives

M. Awadallah, M. Morcos
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引用次数: 20

Abstract

An adaptive neuro-fuzzy inference system (ANFIS) is developed to diagnose open switch faults in the inverter bridge of PM brushless DC motor drives. Performance of the drive system under normal and faulty conditions is obtained through a discrete-time model. The motor DC-link current is monitored over one electrical cycle under healthy and faulty operations. The time-domain waveform is processed using wavelet transform, and suitable indices are derived to train ANFIS. Testing of the diagnosing system shows the effectiveness of the proposed methodology.
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永磁无刷直流电机驱动开关开路故障的诊断
开发了一种自适应神经模糊推理系统(ANFIS),用于永磁无刷直流电动机变频器桥的开路故障诊断。通过离散时间模型得到了驱动系统在正常和故障情况下的性能。在健康和故障操作下,在一个电气周期内监测电机直流电流。利用小波变换对时域波形进行处理,推导出合适的训练指标。对诊断系统的测试表明了该方法的有效性。
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