Applying a novel control strategy to three phase boost rectifiers

In recent years, three-phase boost rectifiers, due to their high efficiency, good current quality and low EMI emissions are widely used in industry as power factor correction (PFC) converters. Performance criteria of these converters significantly improve with increasing the switching frequency, and highly depend on the control strategy used. This paper presents a new approach to control of three phase boost rectifiers. The proposed method is a hybrid of wavelet and neural network (WNN). Simulation results show that this control strategy is very robust, flexible and also the response of the system is very fast. With applying WNN to the three-phase boost rectifier, the system under control will has unity power factor, sinusoidal input currents and regulated output voltage.