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

2022 ◽  
pp. 440-470
Author(s):  
Arezki Fekik ◽  
Hakim Denoun ◽  
Ahmad Taher Azar ◽  
Mustapha Zaouia ◽  
Nabil Benyahia ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Control ◽  
Power Factor ◽  
Reactive Power ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Dc Voltage ◽  
Unit Power

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.

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

2018 ◽  
pp. 286-316 ◽  
Author(s):  
Arezki Fekik ◽  
Hakim Denoun ◽  
Ahmad Taher Azar ◽  
Mustapha Zaouia ◽  
Nabil Benyahia ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Control ◽  
Power Factor ◽  
Reactive Power ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Dc Voltage ◽  
Unit Power

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.

scholarly journals Sensorless Direct Power Control of Induction Motor Drive Using Artificial Neural Network

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Abolfazl Halvaei Niasar ◽  
Hossein Rahimi Khoei
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Control ◽  
Induction Motor ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Direct Power ◽  
Direct Power Control ◽  
Artificial Neural ◽  
Propagation Network

This paper proposes the design of sensorless induction motor drive based on direct power control (DPC) technique. It is shown that DPC technique enjoys all advantages of pervious methods such as fast dynamic and ease of implementation, without having their problems. To reduce the cost of drive and enhance the reliability, an effective sensorless strategy based on artificial neural network (ANN) is developed to estimate rotor’s position and speed of induction motor. Developed sensorless scheme is a new model reference adaptive system (MRAS) speed observer for direct power control induction motor drives. The proposed MRAS speed observer uses the current model as an adaptive model. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Simulink. Some simulations are carried out for the closed-loop speed control systems under various load conditions to verify the proposed methods. Simulation results confirm the performance of ANN based sensorless DPC induction motor drive in various conditions.

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

2019 ◽  
Vol 33 (4) ◽  
pp. 358
Author(s):  
Sundarapandian Vaidyanathan ◽  
Mohamed Lamine Hamida ◽  
Mustapha Zaouia ◽  
Hakim Denoun ◽  
Arezki Fekik
Keyword(s):  
Neural Network ◽  
Power Control ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Three Phase

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

2019 ◽  
Vol 33 (4) ◽  
pp. 358
Author(s):  
Arezki Fekik ◽  
Hakim Denoun ◽  
Mustapha Zaouia ◽  
Mohamed Lamine Hamida ◽  
Sundarapandian Vaidyanathan
Keyword(s):  
Neural Network ◽  
Power Control ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Three Phase

scholarly journals A new switching look-up table for direct power control of grid connected 3L-NPC PWM rectifier

2021 ◽  
Vol 12 (3) ◽  
pp. 1413
Author(s):  
Azziddin M. Razali ◽  
Nor Azizah Yusoff ◽  
Kasrul Abdul Karim ◽  
Auzani Jidin ◽  
Tole Sutikno
Keyword(s):  
Power Control ◽  
Reactive Power ◽  
Supply Voltage ◽  
Harmonic Distortion ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Pulse Width Modulated ◽  
Look Up Table ◽  
Dynamic Performances

This paper presents a comprehensive and systematic approach in developing a new switching look-up table for direct power control (DPC) strategy applied to the three-phase grid connected three-level neutral-point clamped (3L-NPC) pulse width modulated (PWM) rectifier. The term of PWM rectifier used in this paper is also known as AC-DC converter. The approach provides detailed information regarding the effects of each multilevel converter space vector to the distribution of input active and reactive power in the converter system. Thus, the most optimal converter space vectors are able to be selected by the switching look-up table, allowing smooth control of the active and reactive powers for each sector. In addition, the proposed DPC utilizes an NPC capacitor balanced strategy to enhance the performance of front-end AC-DC converter during load and supply voltage disturbances. The steady state as well as the dynamic performances of the proposed DPC are presented and analyzed by using MATLAB/Simulink software. The results show that the AC-DC converter utilizing the new look-up table is able to produce almost sinusoidal line currents with lower current total harmonic distortion, unity power factor operation, adjustable DC-link output voltage and good dynamic response during load disturbance.

scholarly journals Improved virtual flux direct power control of three phase PWM rectifier using SOGI-FLL estimator under disturbed voltage conditions

2019 ◽  
Vol 8 (1) ◽  
pp. 34
Author(s):  
A. Rahab ◽  
H Benalla ◽  
F Senani
Keyword(s):  
Power Control ◽  
Reactive Power ◽  
Supply Voltage ◽  
Notch Filter ◽  
Pwm Rectifier ◽  
Direct Power ◽  
Direct Power Control ◽  
Three Phase ◽  
Observation Method ◽  
Virtual Flux

In this paper, improved sonsorless direct power control (DPC) of three-phase rectifiers is presented. The new system are based on virtual flux (VF) and notch filter using Second Order Generalized Integrator frequency located loop SOGI-FLL estimator. In order to improve the VF-DPC performance of PWM rectifier, an improved observation method of virtual flux-linkage is proposed. To avoid the relevant problems of pure integrator, and to achieve the accurate observation of the grid voltage’s phase, (SOGI-FLL) are used to displace the pure integrator. Theoretical principles of this method are presented and discussed. These strategies are also investigated under disturbed grid voltage. A theoretical analysis of active and reactive power under a non-ideal source is clearly demonstrated. In order to calculate the compensated powers, the extraction of positive, negative, and harmonic sequences of voltage and current is needed and a multiple dual SOGI-FLL method is used for rapid and accurate extraction. It is shown that the VFDPC with integrating notch filter exhibits several advantages, particularly providing small ripple of DC-link voltage and sinusoidal line current when the supply voltage is not ideal.

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