Intelligence Approaches Based Direct Torque Control of Induction Motor

被引：0

作者：

Douiri, Moulay Rachid ^{[1
]}

Cherkaoui, Mohamed ^{[1
]}

机构：

[1] Mohammadia Engn Sch, Dept Elect Engn, Rabat, Morocco

来源：

ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, ICANNGA 2013 | 2013年 / 7824卷

关键词：

artificial neural network; direct torque control; fuzzy logic; induction motor;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a comparative study of two intelligent techniques to replace conventional comparators and selection table of direct torque control for induction machines, namely fuzzy logic and artificial neural network. The comparison with the conventional direct torque control proves that FL-DTC and NN-DTC reduces the electromagnetic torque ripple, stator flux, and stator current. Simulation results prove the effectiveness and the performances proposed strategies.

引用

页码：50 / 59

页数：10

共 18 条

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