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A neural network-based commutation optimization strategy and drive system design for brushless DC motor

Liu Yuxiang Yao Zhaolin Yuan Fang Liu Ming Li Xiang Zhang Xu

高技术通讯（英文版）2021，Vol.27Issue(4)：448-453,6.

高技术通讯（英文版）2021，Vol.27Issue(4)：448-453,6.DOI:10.3772/j.issn.1006-6748.2021.04.014

A neural network-based commutation optimization strategy and drive system design for brushless DC motor

Liu Yuxiang ¹Yao Zhaolin ¹Yuan Fang ¹Liu Ming ¹Li Xiang ¹Zhang Xu¹

作者信息

1. State Key Laboratory on Integrated Optoelectronics,Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,P.R.China
折叠

摘要

关键词

brushless DC motor/senseless control/back electromotive force/neural network/hardware implantation/field programmable gate array (FPGA)

Key words

brushless DC motor/senseless control/back electromotive force/neural network/hardware implantation/field programmable gate array (FPGA)

引用本文复制引用

Liu Yuxiang,Yao Zhaolin,Yuan Fang,Liu Ming,Li Xiang,Zhang Xu..A neural network-based commutation optimization strategy and drive system design for brushless DC motor[J].高技术通讯（英文版）,2021,27(4):448-453,6.

基金项目

Supported by the National Key Research and Development Program (No.2017YFB0406204,2016YFC0105604),Beijing Science and Technol-ogy Projects (No.Z181100003818002),Science and Technology Service Network Initiative (No.FJ-STS-QYZX-099,KFJ-STS-ZDTP-069). （No.2017YFB0406204,2016YFC0105604）

高技术通讯（英文版）

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ISSN：1006-6748

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