Induction Motor Direct Torque Control Based on multiple neural networks optimized by Genetic Algorithm

被引：0
|
作者：
Zou Gan [1 ]
Li Tao [2 ]
Xiao Renxin [1 ]
机构：
[1] Kunming Univ Sci & Technol, Coll Mech & Elect Engn, Kunming 650093, Peoples R China
[2] China Shipbuilding Trading Kunming Co Ltd, Kunming 650051, Peoples R China
来源：
ADVANCED COMPOSITE MATERIALS, PTS 1-3 | 2012年 / 482-484卷
关键词：
Induction motor; Direct Torque Control; Multiple Neural Networks; Genetic Algorithm;
D O I：
10.4028/www.scientific.net/AMR.482-484.1985
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
Conventional direct torque control(DTC) of induction motor has the problem of large torque ripple. In addition,the speed sensor has its deficiency A novel DTC system based on multiple neural networks optimized by Genetic Algorithm is proposed and the structures of the proposed system are designed Genetic algorithm was used to optimize the initial weights and thresholds of the neural networks,All parameters of the neural networks were obtained by offline training A simulation model of induction motor DTC system was developed in Mat lab / Simulink,the simulation results show the feasibility and effectiveness of the scheme.
引用
收藏
页码：1985 / +
页数：2
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