Description:
This paper proposes a neural implementation of a harmonic eliminationstrategy (HES) to control a Uniform Step Asymmetrical Multilevel Inverter(USAMI). The mapping between the modulation rate and the requiredswitching angles is learned and approximated with a Multi-Layer Perceptron(MLP) neural network. After learning, appropriate switching angles can bedetermined with the neural network leading to a low-computational-costneural controller which is well suited for real-time applications. ...