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Model Based Detection of Rotor Faults without Rotor Position Sensor-the Sensorless Vienna Monitoring Method

机译:基于模型的转子故障检测没有转子位置传感器 - 无传感器维也纳监测方法

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This contribution deals with an extended approach of the Vienna Monitoring Method (VMM), which is a model based technique to detect rotor asymmetries in the squirrel cage of an induction machine. The conventional VMM requires the measured voltages, currents and the signal of a rotor position sensor. The novel scheme presented in this paper alternatively works without a rotor position sensor. Especially for low inertia drives accurate estimation of rotor position is required. The rotor fault related double slip frequency torque modulation causes a speed ripple with the same frequency. Consequently, low inertia drives are exposed to higher speed ripples. In this case, it's not sufficient to estimate the mean value of the actual speed, only. Even the speed ripple has to be acquired to benefit from the accuracy of the employed models of the VMM. The proposed technique evaluates the signatures of an inherent rotor fault in order to determine the rotor position signal. The speed ripple can be obtained from the torque modulations that the models already compute. This way, an accurate rotor fault detection technique without rotor position sensor can be realized.
机译:该贡献涉及维也纳监测方法(VMM)的扩展方法,这是一种基于模型的技术,用于检测感应机的鼠笼上的转子不对称。传统的VMM需要测量的电压,电流和转子位置传感器的信号。本文呈现的新颖方案可在没有转子位置传感器的情况下工作。特别是对于低惯性,需要精确地估计转子位置。转子故障相关的双滑移频率扭矩调制导致具有相同频率的速度纹波。因此,低惯性驱动器暴露于更高的速度涟漪。在这种情况下,估计实际速度的平均值是不足的。即使必须获取速度纹波以受益于VMM的所采用模型的准确性。所提出的技术评估固有转子故障的签名以确定转子位置信号。速度纹波可以从模型已经计算的扭矩调制获得。这样,可以实现无转子位置传感器的精确转子故障检测技术。

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