FPGA-based space vector PWM with Artificial Neural Networks

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2012Publisher:IEEEJournal:2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

Authors: Joycer Osorio; Pedro Ponce; Arturo Molina 0001;

doi: 10.1109/iceee.2012.6421215

FPGA-based space vector PWM with Artificial Neural Networks

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Abstract

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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Monterrey Institute of Technology and Higher Education
Mexico

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