NEW CONTROL SCHEME OF ACTIVE FILTER BASED ON NARX NETWORK

Abstract

This paper presents a novel shunt active power filter control reference signal using nonlinear autoregressive with exogenous neural network (NARX) with back propagation training algorithm. The instantaneous reactive power algorithm is integrated within the neural network to extract the dominant harmonics. The static back-propagation learning algorithm is applied to train the proposed series parallel NARX network to identify the load model. Then the training process will be tested for the load after changing the architecture of the NARX network from series-parallel to parallel by applying the actual measured voltage. The proposed method is demonstrated on three phase thyristor controlled drive which is one of widely used loads in petroleum industry field.