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首页> 外文期刊>IEEE Transactions on Industry Applications >PWM Ripple Currents Based Turn Fault Detection for Multiphase Permanent Magnet Machines
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PWM Ripple Currents Based Turn Fault Detection for Multiphase Permanent Magnet Machines

机译:基于PWM纹波电流的多相永磁电机转向故障检测

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摘要

Most permanent magnet (PM) machines are driven by inverters with pulse-width modulation (PWM) voltages. The currents contain high-frequency (HF) components which are inversely proportional to machine inductance. The HF PWM ripple currents can be used to detect a turn fault that gives rise to changes in inductance. The features of these HF components under turn fault conditions are analyzed. A bandpass filter is designed to extract the selected sideband components, and their root-mean-square (rms) values are measured. The rms values in all phases are compared. It is shown that the rms ripple current ratios between two adjacent phases provide a very good means of detecting turn fault with high signal-to-noise ratio. The detection method can identify the faulted phase and tolerate inherent imbalance of the machine, and is hardly affected by transient states. The method is assessed by simulations and experiments on a five-phase PM machine.
机译:大多数永磁(PM)电机由具有脉宽调制(PWM)电压的逆变器驱动。电流包含与机器电感成反比的高频(HF)分量。 HF PWM纹波电流可用于检测会引起电感变化的转向故障。分析了转向故障条件下这些高频组件的特性。设计一个带通滤波器以提取所选的边带分量,并测量其均方根(rms)值。比较所有阶段的均方根值。结果表明,两个相邻相之间的均方根纹波电流比提供了一种很好的手段来检测具有高信噪比的匝间故障。该检测方法可以识别出故障的相并容忍机器固有的不平衡,并且几乎不受瞬态的影响。该方法通过在五相PM机器上的仿真和实验进行评估。

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