Artificial intelligence based controllers for industrial PWM power converters

The pulse width modulated (PWM) three-phase AC/DC power converters are widely applied in industry environment for supply adjustable speed drives and other DC loads. We present two novel approaches for PWM current control of such an AC/DC converters. The first one is based on fuzzy logic approach, and the second one uses online trained neural network. The design procedure as well as simulation and DSP based experimental results are presented.

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