Control of a Active Filter Using Dynamic Neural Networks

Abstract

At this paper the “dynamic multilayer perceptron” (MLP) neural network has been applied to the control of an active power filter (APF). The objective is developing a new suitable control technique by APF’s for compensation of harmonic distortion present in nonlinear loads current by electric power circuits. The strategy has been extracting the instantaneous value of the fundamental harmonic from the load current by means of this artificial neural network (ANN) topology. A previous training with waveforms distorted by harmonics up to the 29th order showed to be enough for a high accuracy, working with typical nonlinear loads. By using this fundamental harmonic, the shunt APF reference distortion signal is obtained. This has been applied, at simulation, to a practical case of a power circuit containing an AC regulator and a series RL load. The results show the ability of this type of ANN to supply the APF with the reference signal necessary for its control.