Artificial neural network-based robust tracking control for doubly fed induction generator used in wind energy conversion systems

Youcef Djeriri; Abdelkader Meroufel; Mohamed Allam

Article Details

Artificial neural network-based robust tracking control for doubly fed induction generator used in wind energy conversion systems

Authors:

Youcef Djeriri | Abdelkader Meroufel | Mohamed Allam

Publisher:

Université de Ghardaia

Journal:

Journal of Advanced Research in Science and Technology Vol.2 Issue 1, pp.173-181

Document Type:

Article

Publication Date:

1/2015

Document Language:

English

Document ID (Org No.):

2001402192

pISSN:

2588-2511

Keywords:

Abstract:

 This paper deals with a variable speed device to produce electrical energy on the power network, based on a doubly fed induction generator (DFIG). This machine is intended to equip nacelles of wind turbines. First, a mathematical model of the machine written in an appropriate d-q reference frame is established to investigate simulations. In order to control the power flowing between the stator of the DFIG and the power network, a control law is synthesized by using two types of controllers: Proportional-Integral (PI) controller and Neural Networks (NN) based controller. Their respective performances are compared by simulation in terms of power reference tracking and robustness against machine parameters variations.

Article Details

Artificial neural network-based robust tracking control for doubly fed induction generator used in wind energy conversion systems

Authors:

Youcef Djeriri | Abdelkader Meroufel | Mohamed Allam

Publisher:

Université de Ghardaia

Journal:

Journal of Advanced Research in Science and Technology Vol.2 Issue 1, pp.173-181

Document Type:

Article

Publication Date:

1/2015

Document Language:

English

Document ID (Org No.):

2001402192

pISSN:

2588-2511

Wind Energy

DFIG

PI Controller

Artificial Neural Networks

Issues

Article Details

Artificial neural network-based robust tracking control for doubly fed induction generator used in wind energy conversion systems

Authors: Youcef Djeriri | Abdelkader Meroufel | Mohamed Allam

Publisher: Université de Ghardaia

Journal: Journal of Advanced Research in Science and Technology Vol.2 Issue 1, pp.173-181

Document Type: Article

Publication Date: 1/2015

Document Language: English

Document ID (Org No.): 2001402192

pISSN: 2588-2511

Wind Energy

DFIG

PI Controller

Artificial Neural Networks

Issues

Authors:

Youcef Djeriri | Abdelkader Meroufel | Mohamed Allam

Publisher:

Université de Ghardaia

Journal:

Journal of Advanced Research in Science and Technology Vol.2 Issue 1, pp.173-181

Document Type:

Article

Publication Date:

1/2015

Document Language:

English

Document ID (Org No.):

2001402192

pISSN:

2588-2511