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  • 标题:A NEURAL NETWORK-BASED SVPWM CONTROLLER FOR A TWO-LEVEL VOLTAGE-FED INVERTER INDUCTION MOTOR DRIVE
  • 本地全文:下载
  • 作者:AHMED A. HASSAN ; SAMIR DEGHEDIE ; MOHAMED EL HABROUK
  • 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:2013
  • 卷号:58
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In this paper, a detailed description of a neural network-based implementation of the SVPWM algorithm for two-level voltage source inverters is proposed using a modular approach which facilitates the expansion of the scheme to higher levels SVM, each step in the SVPWM algorithm is achieved using a simple feed-forward artificial neural network that consists of one or more layers. Simulation results are provided by employing the proposed scheme inside a closed loop V/Hz drive system.
  • 关键词:Space Vector Modulation (SVM); Artificial Neural Networks (ANNs); Two-Level Inverter
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