Neural network based predictive control strategy of active power filter for electric drives

A neural network predictive control strategy for an active filter is presented in this paper. By predicting the fundamental line current, the active power filter cancels the harmonic distortion current produced by a motor drive. The predictions are based on readily available signals such as the bridge phase angle, motor armature voltage and the rectifier AC-side current