集成电路应用2024,Vol.41Issue(3) :158-159.DOI:10.19339/j.issn.1674-2583.2024.03.068

基于神经网络算法的无刷电机线反电动势检测方法分析

Analysis of Brushless Motor Line Back-EMF Detection Method Based on Neural Network Algorithm

肖驰
集成电路应用2024,Vol.41Issue(3) :158-159.DOI:10.19339/j.issn.1674-2583.2024.03.068

基于神经网络算法的无刷电机线反电动势检测方法分析

Analysis of Brushless Motor Line Back-EMF Detection Method Based on Neural Network Algorithm

肖驰1
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作者信息

  • 1. 长江大学,湖北 434023
  • 折叠

摘要

阐述无刷电机的原理和反电动势的特点,反电动势在电机控制中的作用.探讨神经网络算法在反电动势检测中的应用,包括数据采集、网络结构设计、训练过程和性能评估.

Abstract

This paper expounds the principle of brushless motors and the characteristics of back electromotive force,as well as the role of back electromotive force in motor control.It explores the application of neural network algorithms in back electromotive force detection,including data acquisition,network structure design,training process,and performance evaluation.

关键词

神经网络算法/无刷电机线/反电动势检测

Key words

neural network algorithm/brushless motor line/back electromotive force detection

引用本文复制引用

出版年

2024
集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
参考文献量4
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