基于神经网络的异步电动机转速估计研究

Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435) Pub Date : 2000-08-15 DOI:10.1109/IPEMC.2000.883009

Z. Shao, Ying Li

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引用次数: 5

摘要

人工神经网络具有并行计算、自适应、学习和逼近任意非线性函数的能力。本文讨论了利用单个神经细胞在线辨识电机转速和利用多输入神经网络在线辨识电机定子和转子电阻的方法。仿真结果表明了该方法的有效性和可行性。

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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The research for speed estimation of induction motor based on neural network

Artificial neural networks have the ability of parallel calculation, adapting, learning and approaching an arbitrary nonlinear function. In this paper, a method of how to use a single nerve cell to identify motor speed and how to use a multi-input neural network to identify motor stator and rotor resistance online is discussed. The simulation results show its validity and feasibility.

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Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)

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