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  • 标题:DIRECT TORQUE CONTROL FOR INDUCTION MOTOR USING INTELLIGENT TECHNIQUES
  • 本地全文:下载
  • 作者:R.Toufouti ; S.Meziane ; H. Benalla
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2007
  • 卷号:3
  • 期号:3
  • 页码:35-44
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In this paper, we propose two approach intelligent techniques of improvement of Direct Torque Control (DTC) of Induction motor such as fuzzy logic (FL) and artificial neural network (ANN), applied in switching select voltage vector .The comparison with conventional direct torque control (DTC), show that the use of the DTC_FL and DTC_ANN, reduced the torque, stator flux, and current ripples. The validity of the proposed methods is confirmed by the simulative results.
  • 关键词:Fuzzy inference system (FIS) ; Fuzzy logic ; direct torque control (DTC) ; induction motor ; artificial neural network (ANN).
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