文章基本信息

标题：A NEURAL NETWORK-BASED SVPWM CONTROLLER FOR A TWO-LEVEL VOLTAGE-FED INVERTER INDUCTION MOTOR DRIVE
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作者：AHMED A. HASSAN ; SAMIR DEGHEDIE ; MOHAMED EL HABROUK 等
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