Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator

W. Slimane (), M. T. Benchouia (), A. Golea () and S. Drid ()
Additional contact information
W. Slimane: University of Biskra
M. T. Benchouia: University of Biskra
A. Golea: University of Biskra
S. Drid: University of Mustafa

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 3, No 16, 716-727

Abstract: Abstract This paper deals with maximum power point tracking control (MPPT) of wind turbines systems based on double fed induction generator (DFIG). To minimize the variable and random character of wind speed impact on the wind turbine system, a maximum power point tracking algorithm based on sliding mode control is proposed. The MPPT algorithm is designed with sliding-mode control theory, this solution shows good robustness with respect to parameter variations, measurement errors and robustness with respect to external disturbances and unmodeled dynamics (DFIG-WT). A comparative study is elaborated using PI, first and second order sliding mode controllers. The simulation results confirm the effectiveness of the proposed approach either in transient and steady state.

Keywords: Double feed induction generator (DFIG); Vector control; Maximum power point tracking (MPPT); Second order sliding mode controller (SOSMC); Performance criteria (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-020-00987-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:11:y:2020:i:3:d:10.1007_s13198-020-00987-8

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-020-00987-8

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().