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基于神经网络的异步电机控制系统研究 被引量:2

Research on asynchrony motor control system based on neural network
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摘要 异步电机由于其优越的性能在工业中获得了广泛的应用,有关其控制的研究一直是业界人士关心的热点与难点问题。针对异步电机直接转矩控制技术存在的一些不足,本文设计了基于RBF神经网络的定子磁链识别和电压矢量选择模型,并通过MATLAB搭建了异步电机直接转矩控制模型,仿真结果表明所设计的RBF神经网络直接转矩控制系统效果更优。
作者 刘伟 张鸿辉
出处 《制造业自动化》 北大核心 2013年第18期46-48,共3页 Manufacturing Automation
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