Comparative Between the Control Artificial Neural Networks Techniques and the PI Control of a DFIM Integrated in a Wind Turbine

EasyChair Preprint 5401

Abstract

This work deals the comparative between the control by artificial neural networks techniques and the   classical direct vector control PI of a DFIM integrated into a wind turbine. The system is based on a doubly fed induction machine (DFIM) and connected to the constant frequency network. We applied a vector control based on the orientation of the stator flow of the machine to independently control the active and reactive powers between the stator and the network and we applied the neuron control for see the variation of behavior on the system.  The results obtained in simulation were validated compared to the work of the articles cited in the bibliography

Keyphrases: Doubly Fed Induction Machine, Vector control (PI), neural network control, wind energy

@booklet{EasyChair:5401,
  author    = {Chandad Abdelmoumen and Hamouda Messaoud and Benharir Nadjadi},
  title     = {Comparative Between the Control Artificial Neural Networks Techniques and the PI Control of a DFIM Integrated in a Wind Turbine},
  howpublished = {EasyChair Preprint 5401},
  year      = {EasyChair, 2021}}