Improved Classic Direct Torque Control Based on Doubly Fed Induction Generator Use Neural Network

2021 ◽  
Author(s):  
Mujammal Mujammal ◽  
Abdelhafidh Moualdia ◽  
Djamal Boudana
Keyword(s):  
Neural Network ◽  
Direct Torque Control ◽  
Torque Control ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Doubly Fed

scholarly journals Direct Torque Control of a Doubly Fed Induction Generator

2017 ◽  
Vol 2 (1) ◽  
pp. 11 ◽  
Author(s):  
Asma Ben Amar
Keyword(s):  
Control System ◽  
Direct Torque Control ◽  
Torque Control ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Electromagnetic Torque ◽  
Rotor Flux ◽  
Simulation Results ◽  
Doubly Fed ◽  
Power Generation Systems

In this paper a direct torque control system is proposed and is applied to doubly fed induction generator (DFIG) based wind power generation systems. In this control system the rotor flux and the electromagnetic torque are estimated based on the rotor voltage and currents measurements. The validity and effectiveness of this control is demonstrated by some simulation results.

Intelligent Control for Doubly Fed Induction Generator Connected to the Electrical Network

2016 ◽  
Vol 7 (3) ◽  
pp. 688 ◽  
Author(s):  
Anass Bakouri ◽  
Hassane Mahmoudi ◽  
Ahmed Abbou
Keyword(s):  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Direct Torque Control ◽  
Torque Control ◽  
Electrical Network ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Intelligent Technique ◽  
Doubly Fed ◽  
Grid Side

<p><span lang="EN-US">In this paper we are interested in optimizing the wind power capture, using the Doubly Fed Induction Generator (DFIG). This machine is preferred to other types of variable speed generator because of their advantages in economic terms and control. The Artificial Neural Network (ANN) based on Direct Torque Control (DTC) which is used to control the electromagnetic torque in order to extract the maximum power, The  main  objective  of this intelligent technique is to replace the conventional switching table  by  a  voltage  selector  based  on  (ANN)  to  reduce torque  and  flux  ripples. Moreover, the fuzzy logic controller is used to grid side converter to keep DC link voltage constant, and also to achieve unity power factor operation. The main advantage of the two control strategies proposed in this paper is that they are not influenced by the variation of the machine parameter. The pitch control is also presented to limit the generator power at its rated value. Simulation results of 1,5 MW, for (DFIG) based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.</span></p>

scholarly journals Simulation and Comparison of Control Methods of Doubly Fed Induction Generator in Energy Conversion System

2015 ◽  
Vol 37 ◽  
pp. 195
Author(s):  
Omid Rahmani ◽  
Parviz Amiri ◽  
Zahra Mokhtari ◽  
Zhale Amirjamshidi
Keyword(s):  
Vector Control ◽  
Control Method ◽  
Direct Torque Control ◽  
Torque Control ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Control Methods ◽  
Conversion System ◽  
Energy Conversion System ◽  
Doubly Fed

One of the most applicable methods for utilization of wind energy is the use of doubly fed induction generator (DFIG). This paper presents two various strategies for control of DFIG in wind energy conversion system. Two most common and best control methods are implemented vector control and direct torque control. The studied control methods and their performance have been compared and analyzed based on the results of stimulation. The results indicate the fact that although direct torque control method is a bit slow at the start time; due to less usage of machine parameters, less complexity of control algorithm and improvement of transient response speed of the system, this method presents better performance compared to vector control method.

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