Artificial Intelligence Techniques for Induction Motor Drives

被引：0

作者：

Mediouni, Hamza ^{[1
]}

El Hani, Soumia ^{[1
]}

Ouadghiri, Mustapha ^{[1
]}

Aboudrar, Imad ^{[1
]}

Ouachtouk, Ilias ^{[1
]}

机构：

[1] Mohammed V Univ, Elect Lab Research, Ecole Normale Super Enseignement Tech, Rabat, Morocco

来源：

2017 IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE (IEMDC) | 2017年

关键词：

Induction machine; advanced methods; conventional controller; criterion of robustness; fuzzy logic; artificial neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The induction machine has proved to be an appropriate solution for most industrial applications; Moreover, it presents the future of sustainable automotive industry due to the strategies of control and command of which it can be equipped. This paper presents a study of advanced methods applied to the control of induction machine in order to obtain a system satisfying the criterion of robustness. This work has been done as a comparison between the conventional controller and the advanced techniques of control such as fuzzy logic and artificial neural network. The results of various simulation tests highlight the robustness properties of the different control strategies based on orientation of the rotor flux.

引用

页数：6

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