Artificial Neural Network for PWM Rectifier Direct Power Control and DC Voltage Control

Author:

Fekik Arezki1ORCID,Denoun Hakim2,Azar Ahmad Taher3ORCID,Zaouia Mustapha2,Benyahia Nabil2,Hamida Mohamed Lamine2,Benamrouche Nacereddine4,Vaidyanathan Sundarapandian5

Affiliation:

1. Akli Mohand Oulhadj University, Bouira, Algeria

2. University Mouloud Mammeri of Tizi-Ouzou, Algeria

3. Benha University, Egypt & Nile University, Egypt

4. University of Tizi Ouzou, Algeria

5. Vel Tech University, India

Abstract

In this chapter, a new technique has been proposed for reducing the harmonic content of a three-phase PWM rectifier connected to the networks with a unit power factor and also providing decoupled control of the active and reactive instantaneous power. This technique called direct power control (DPC) is based on artificial neural network (ANN) controller, without line voltage sensors. The control technique is based on well-known direct torque control (DTC) ideas for the induction motor, which is applied to eliminate the harmonic of the line current and compensate for the reactive power. The main idea of this control is based on active and reactive power control loops. The DC voltage capacitor is regulated by the ANN controller to keep it constant and also provides a stable active power exchange. The simulation results are very satisfactory in the terms of stability and total harmonic distortion (THD) of the line current and the unit power factor.

Publisher

IGI Global

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