Magnetizing inductance identification algorithm for operation of speed-sensorless induction motor drives in the field weakening region

M. Zaky, M. Khater, H. Yasin, S. Shokralla
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引用次数: 7

Abstract

Accurate speed estimation of sensorless induction motor drives in the field weakening region depends on the precise magnetizing inductance which varies due to rotor flux reference variation and consequently, the main flux saturation. Therefore, the structure of the speed observer should be modified in such a way that the variation of main flux saturation is recognized within the speed estimation algorithm. In this paper, the sliding mode observer (SMO) of a sensorless induction motor drive is modified for a wide speed range operation at speeds higher than the base speed. The online identification algorithm of magnetizing inductance to operate in the field weakening region is presented. The identification algorithm is based on measured stator voltages and currents and the magnetizing curve of the machine. Simulation and experimental results are presented on indirect field oriented controller of an induction motor drive with compensation of main flux saturation to demonstrate the effectiveness of the modified SMO to operate in the field weakening region.
无速度传感器感应电机在弱磁场区域运行的磁化电感识别算法
磁场减弱区无传感器感应电机驱动的准确速度估计依赖于精确的磁化电感,该感应电感随转子参考磁链的变化而变化,从而导致主磁链饱和。因此,需要对速度观测器的结构进行修改,使其在速度估计算法中能够识别主磁通饱和度的变化。本文对无传感器感应电机驱动器的滑模观测器(SMO)进行了改进,使其能够在高于基本转速的大转速范围内运行。提出了运行在弱磁场区的磁化电感在线识别算法。该识别算法基于测量的定子电压和电流以及电机的磁化曲线。仿真和实验结果表明,采用主磁链饱和补偿的异步电动机间接磁场定向控制器能够有效地在弱磁场区域工作。
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