Stability analysis of a digital current controller for a PWM inverter using a neural network

Abstract
A stability analysis of a digital current controller for a PWM (pulsewidth-modulation) inverter using a neural network is described. The Lyapunov method is used for the analysis. The stability condition for the learning rate of the neural network is clarified. Simulations and experiments done to verify the analytical results show that the neural network can stably compensate a delay necessary for calculation of the digital controller itself and tune gains of the current controller to optimal values.<>

This publication has 3 references indexed in Scilit: