Sensorless control of induction machines by combining fundamental wave models with transient excitation technique
Sensorless control of induction machines by combining fundamental wave models with transient excitation technique
复制标题
将基波模型与瞬态励磁技术相结合的感应电机无传感器控制
DOI：
10.1109/iemdc.2005.195902
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
J. Machl
中科院分区：
文献类型：
--
作者：
T. Wolbank;H. Giuliani;R. Woehrnschimmel;J. Machl
在工业应用中，当需要高动态性能时，感应电机在磁场定向控制下操作。这意味着在任何时刻都知道电机主磁通位置。在实际运行中，磁通计算的数学模型只考虑基波的机器的行为。为了即使在零电频率下也保持这种方案的稳定操作，必须知道由机械转子轴传感器测量的转子位置。许多无传感器控制方法已经被建议省略该传感器，因为它降低了驱动器的可靠性并增加了成本。使用基波模型的无传感器方案基于电压积分。它们在高速下表现出良好的性能，但由于低信噪比和参数不确定性而在低和零电频率下失败。其他方法是评估机器对瞬态或高频激励的响应中的寄生效应。这允许独立于基频计算磁通或转子位置。本文给出的方法试图将这两种方法联合收割机结合起来，在整个频率范围内提供一种性能优良的无传感器控制方案。因此，基波模型通过使用瞬态激励方法的方法在低频处稳定
In industrial applications, when high dynamic performance is required, the induction machine is operated under field oriented control. This implies the knowledge of the machine main flux position at any time instant. In practical operation, the flux is calculated with mathematical models considering only the fundamental wave behavior of the machine. To maintain a stable operation of such a scheme even at zero electrical frequency, the rotor position has to be known, measured by a mechanical rotor shaft sensor. Many sensorless control methods have been suggested to omit this sensor since it decreases the drives reliability and increases the costs. Sensorless schemes using fundamental wave models are based on a voltage integration. They show a good performance at high speed but fail at low and zero electrical frequency due to the low signal to noise ratio and parameter uncertainties. Other methods are evaluating parasitic effects in the machine response to a transient or high frequency excitation. This allows a calculation of the flux- or rotor position independent from the fundamental frequency. The approach given in this paper attempts to combine both methods to provide an excellent performance of the sensorless control scheme in the whole frequency range. Therefore, the fundamental wave model is stabilized at low frequencies by a method using a transient excitation method