CONTRÔLE ROBUSTE DE L'ÉNERGIE ÉOLIENNE À L'AIDE DU MODE GLISSANT, DU RETOUR EN ARRIÈRE ET DE LA LOGIQUE FLOUE

This paper presents a novel nonlinear control approach for a doubly fed induction generator (DFIG) by integrating sliding mode control, backstepping control, and fuzzy logic. The proposed hybrid strategy modifies the sliding mode controller by retaining the equivalent control while replacing the attractive control with backstepping. Type-1 fuzzy logic is then used to optimize the stabilization gains of the backstepping controller, enhancing system stability and resilience. The effectiveness of the proposed control is evaluated through MATLAB/Simulink simulations. Results from the tracking test show accurate reference trajectory tracking without exceeding active and reactive power limits or exhibiting steady-state errors. In the regulation test, the system demonstrated sensitivity to sudden speed changes but maintained stable active and reactive power.

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Publication Details

Journal
REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
Published
2025-08-30
DOI
https://doi.org/10.59277/rrst-ee.2025.3.5
Citations
1
Primary Topic
Historical and Literary Studies
Type
article
Field-Weighted Citation Impact
11.35
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article

CONTRÔLE ROBUSTE DE L'ÉNERGIE ÉOLIENNE À L'AIDE DU MODE GLISSANT, DU RETOUR EN ARRIÈRE ET DE LA LOGIQUE FLOUE

Riyadh Rouabhi, Fayssal Ouagueni, Abderrahim Zemmit, Abdelghafour Herizi
1 citations
REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE
Historical and Literary Studies
11.35
article

CONTRÔLE ROBUSTE DE L'ÉNERGIE ÉOLIENNE À L'AIDE DU MODE GLISSANT, DU RETOUR EN ARRIÈRE ET DE LA LOGIQUE FLOUE

Riyadh Rouabhi, Fayssal Ouagueni, Abderrahim Zemmit, Abdelghafour Herizi
article en
1 citations

Abstract

This paper presents a novel nonlinear control approach for a doubly fed induction generator (DFIG) by integrating sliding mode control, backstepping control, and fuzzy logic. The proposed hybrid strategy modifies the sliding mode controller by retaining the equivalent control while replacing the attractive control with backstepping. Type-1 fuzzy logic is then used to optimize the stabilization gains of the backstepping controller, enhancing system stability and resilience. The effectiveness of the proposed control is evaluated through MATLAB/Simulink simulations. Results from the tracking test show accurate reference trajectory tracking without exceeding active and reactive power limits or exhibiting steady-state errors. In the regulation test, the system demonstrated sensitivity to sudden speed changes but maintained stable active and reactive power.

REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUEVol. 70(3)
University Mohamed Boudiaf of M'sila (DZ)
Openalex Percentile: Top 2%
Historical and Literary Studies
11.35
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