A Direct Torque Control of Asynchronous Motor Based on Fuzzy Net-work

被引：0

作者：

Shu Dasong ^{[1
]}

机构：

[1] Hunan Radio & TV Univ, Dept Engn, Changsha 410004, Hunan, Peoples R China

来源：

2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2011年

关键词：

Induction motor; Direct Torque Control; MATLAB simulation; fuzzy neural network;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, we proposes a direct torque control method of alternating current servomotor, which aims for solving the problems such as large torque ripple of direct control in low speed range and inconsistent inverter switching frequency. In the thesis, SVPWM control strategy and fuzzy neural network adjustor are used for controlling. MATLAB simulation proves that the asynchronous motor using this type of control has small torque ripple and good performances both in dynamic and static.

引用

页码：728 / 731

页数：4

共 4 条

[1]

Hui Sun Xiao, 2002, CSEE, V22, P109

[2] Multiphase induction motor drives - a technology status review [J].

Levi, E. ;

Bojoi, R. ;

Profumo, F. ;

Toliyat, H. A. ;

Williamson, S. .

IET ELECTRIC POWER APPLICATIONS, 2007, 1 (04) :489-516

[3] Re'current-fuzzy-neural-network-controlled linear induction motor servo drive using genetic algorithms [J].

Lin, Faa-Jeng ;

Huang, Po-Kai ;

Chou, Wen-Der .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (03) :1449-1461

[4] Novel direct torque control (DTC) scheme with fuzzy adaptive torque-ripple reduction [J].

Romeral, L ;

Arias, A ;

Aldabas, E ;

Jayne, MG .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2003, 50 (03) :487-492

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