FPGA-based space vector PWM with Artificial Neural Networks

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.