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DOI: 10.14569/IJACSA.2016.070261
PDF

Comparative Study of Robust Control Strategies for a Dfig-Based Wind Turbine

Author 1: Mohamed BENKAHLA
Author 2: Rachid TALEB
Author 3: Zinelaabidine BOUDJEMA

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Conventional vector control configurations which use a proportional-integral (PI) regulator for the powers DFIGs driven have some drawbacks such as parameter tuning difficulties, mediocre dynamic performances and reduced robustness. So, based on analysis of the DFIG model, fed by a direct AC-AC converter, two nonlinear algorithms: sliding mode and adaptive fuzzy logic is used to control independently active and reactive powers provided by the stator side of the DFIG to the grid. Their respective performances are compared with the conventional PI controller regarding reference tracking, response to sudden speed variation and robustness against machine parameters variations.

Keywords: Wind turbine (WT); doubly fed induction generator (DFIG); sliding mode controller (SMC); PI controller; adaptive fuzzy logic controller (AFLC)

Mohamed BENKAHLA, Rachid TALEB and Zinelaabidine BOUDJEMA, “Comparative Study of Robust Control Strategies for a Dfig-Based Wind Turbine” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070261

@article{BENKAHLA2016,
title = {Comparative Study of Robust Control Strategies for a Dfig-Based Wind Turbine},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070261},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070261},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Mohamed BENKAHLA and Rachid TALEB and Zinelaabidine BOUDJEMA}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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