Direct Torque Control of Induction Motor Based on Artificial Neural Networks Speed Control Using MRAS and Neural PID Controller

被引：0
|
作者：
Zegai, M. L. [1 ]
Bendjebbar, M. [1 ]
Belhadri, K. [1 ]
Doumbia, M. L. [2 ]
Hamane, B. [2 ]
Koumba, P. M. [2 ]
机构：
[1] Univ Sci & Technol Oran, Dept Elect Engn, Lab Dev Elect Devices LDEE, Oran, Algeria
[2] Univ Quebec Trois Rivieres, Dept Elect & Comp Engn, Ind Elect Res Grp, Trois Rivieres, PQ, Canada
来源：
2015 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2015年
关键词：
Induction Motor; Direct Torque Control; Model Reference Adaptive System; Artificial Neural Networks; Neural Controller;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This contribution deals with the proposal of direct torque control (DTC) for Induction Motor (IM) with the use of artificial neural networks (ANN) to increase the system's performance. Model Reference Adaptive System (MRAS) method is used for the estimation and regulation of rotor's speed. The whole structure of DTC is designed by Matlab/Simulink. The neural controller is designed using neural Toolbox, and the system's performance is compared with conventional DTC.
引用
收藏
页码：320 / 325
页数：6
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