A new switching table based neural network for direct power control of three-phase PWM-rectifier

Author(s):  
Arezki Fekik ◽  
Hakim Denoun ◽  
Mustapha Zaouia ◽  
Mohamed Lamine Hamida ◽  
Sundarapandian Vaidyanathan
Author(s):  
Sundarapandian Vaidyanathan ◽  
Mohamed Lamine Hamida ◽  
Mustapha Zaouia ◽  
Hakim Denoun ◽  
Arezki Fekik

Author(s):  
Arezki Fekik ◽  
Hakim Denoun ◽  
Ahmad Taher Azar ◽  
Mustapha Zaouia ◽  
Nabil Benyahia ◽  
...  

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.


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