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Model-Based Detection of Rotor Faults Without Rotor Position Sensor - The Sensorless Vienna Monitoring Method

机译:无转子位置传感器的基于模型的转子故障检测-维也纳无传感器监测方法

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摘要

This paper 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. In particular, 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 is 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:本文讨论了维也纳监测方法(VMM)的扩展方法,该方法是一种基于模型的技术,用于检测感应电机的鼠笼中的转子不对称性。传统的VMM需要测得的电压,电流和转子位置传感器的信号。本文提出的新颖方案也可以在没有转子位置传感器的情况下工作。特别是对于低惯性驱动器,需要精确估计转子位置。与转子故障相关的双滑差频率转矩调制会导致相同频率的速度波动。因此,低惯量驱动器会遭受较高的速度波动。在这种情况下,仅估计实际速度的平均值是不够的。甚至必须获得速度波动才能受益:受益于VMM所采用模型的准确性。所提出的技术评估转子固有故障的特征,以确定转子位置信号。速度波动可以从模型已经计算出的转矩调制中获得。这样,可以实现没有转子位置传感器的精确的转子故障检测技术。

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