Neural network vector control of a permanent magnet synchronous motor drive

被引：3
|
作者：
Wang, Jian [1 ]
Wang, Honghua [1 ]
Zhang, Xueqin [2 ]
Wang, Jiangtao [3 ]
机构：
[1] Hohai Univ, Inst Elect Engn, Nanjing 210098, Peoples R China
[2] Nanjing Automat Ltd, Nanjing 210048, Jiangsu, Peoples R China
[3] Coll Chem Technol, Dept Automat, Nanjing 210048, Jiangsu, Peoples R China
来源：
ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
ANN; PID; SVM; vector control; PMSM;
D O I：
10.1109/ICIEA.2008.4582574
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
After analyzing the basic principle of vector control in permanent magnet synchronous motor (PMSM) drive, this paper proposes a novel artificial neural network (ANN) based vector control. Here, ANN is used in speed control and space vector pulse width modulation (SVM), since an artificial neural network based speed controller does not rely on the accurate mathematical model of system, and it has not only fast dynamic response but also high steady-state accuracy, while an artificial neural network based SVM (ANN-SVM) algorithm can be realized easily with a small amount of calculation and efficiently-reduced current harmonic. A PMSM drive simulation model with ANN based vector control is created and studied using Matlab/Simulink. The simulation results demonstrate the feasibility and validity of ANN based vector control.
引用
收藏
页码：542 / +
页数：2
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