Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine-Reference-Cited by-同舟云学术

Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine

Published:2019-12-01 Issue:2 Volume:12 Page:1-10
ISSN:2343-8908
Container-title:Carpathian Journal of Electronic and Computer Engineering
language:en
Short-container-title:

Author:

Benbouhenni Habib¹

Affiliation:

1. National Polytechnique School of Oran Maurice Audin , Oran , Algeria

Abstract

Abstract In this work, we present a new fuzzy second-order sliding mode controller (FSOSMC) for wind power transformation system based on a doubly-fed induction generator (DFIG) using intelligent space vector pulse width modulation (SVPWM). The proposed command strategy combines a fuzzy logic and a second order sliding mode control (SOSMC) for the DFIG command. This strategy presents attractive features such as chattering-free, compared to the conventional first and second order sliding mode techniques. The use of this method provides very satisfactory performance for the DFIG command. The effectiveness of this command strategy is proven through the simulation results.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/cjece-2019-0009

Reference57 articles.

1. [1] Z. Boudjema, R. Taleb, Y. Djerriri, A. Yahdou, « A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system, » Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 25, pp. 965-975, 2017.

2. [2] K. Boulaam, A. Boukhelifa, « Output power control of a variable wind energy conversion system, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 2, pp. 197-202, 2017.

3. [3] H. Benbouhenni, «Direct vector control for doubly fed induction generator-based wind turbine system using five-level NSVM and two-level NSVM technique, » International Journal Of Smart Grid, Vol. 3, No. 1, pp. 25-32, 2019.

4. [4] F. Amrane, A. Chaiba, B. Babas, S. Mekhilef, « Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller, » Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 61, No. 4, pp. 319-324, 2016.

5. [5] J. Mohammadi, S. Vaez-Zadeh, S. Afsharnia, E. Dayabeigi, « A combined vector and direct power control for DFIG-based wind turbines, » IEEE Transactions on Sustainable Energy, Vol. 5, No. 3, 2014.

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