FPGA-Based Space Vector PWM with Artificial Neural Networks

被引：0
|
作者：
Osorio, J. [1 ]
Ponce, P. [2 ]
Molina, A. [3 ]
机构：
[1] ITESM, Res Dept Tecnol Monterrey, Mexico City, DF, Mexico
[2] Tecnol Monterrey ITESM, Director Master Sci, Mexico City, DF, Mexico
[3] Tecnol Monterrey ITESM, Mexico City, DF, Mexico
来源：
2012 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE) | 2012年
关键词：
SVPWM; ANN; Artificial Intelligence; AC Motors; FPGA; CONTROLLER; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article presents the improvement of a PWM technique, called Space Vector PWM (SVPWM), using an Artificial Neural Network (ANN) to minimize the mathematic complexity involved with the SVPWM. The latter is a pulse-width modulation technique that is wide implemented to control AC electric motors. The results obtained from this research work will be used for further implementation of artificial intelligence techniques to control electric vehicle powertrains. Matlab is implemented for the ANN design and Labview for the FPGA programming and implementation.
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页数：6
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