A stator resistance estimator of induction motors based on fuzzy-neural networks

Cao Chengzhi, Yang Xiaobo, Lu Zhanhong
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引用次数: 2

Abstract

In a direct torque control system, the stator resistance of induction motors varies with winding temperature. The variation severely influences system performance at low speed. The paper presents a stator resistance on-line estimator based on the fuzzy-neural network. The experimental result and simulation shows that the estimator can accurately measure stator resistance and efficiently improve system performance at low speed.
基于模糊神经网络的异步电动机定子电阻估计器
在直接转矩控制系统中,异步电动机的定子电阻随绕组温度的变化而变化。这种变化严重影响系统在低速时的性能。提出了一种基于模糊神经网络的定子电阻在线估计方法。实验和仿真结果表明,该估计器能够准确地测量定子电阻,有效地改善了系统的低速性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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