Artificial Intelligence Approaches for Direct Torque Control of Induction Motor

摘要：

This paper presents two intelligent techniques to replace convention-al comparators and selection table of direct torque control for induction ma-chines, namely the fuzzy logic and neural network artificial.The comparison with the conventional direct torque control, proves that the use of FL-DTC and ANN-DTC, reduced torque ripple electromagnetic flux and stator current.Sim-ulation results prove the effectiveness and the performances proposed strate-gies.

关键词： artificial neural network direct torque control fuzzy logic induction motor

作者: Moulay Rachid Douiri Mohamed Cherkaoui

作者单位: Mohammadia Engineering School, Department of Electrical Engineering, Avenue Ibn Sina, B.P.765, Agdal-Rabat, Morocco

会议类型: 国际会议

会议名称: The 7th International Conference Cooperation and Promotion of Information Resources in Science and Technology(第七届科技信息资源共享促进国际会议 )

会议地点: 南京

会议语种:英文

页码: 1-8

在线出版日期: 2012-11-23（万方平台首次上网日期，不代表论文的发表时间）