An adaptive FLC-GAFOPI controller for WRSG based wind turbine

• Autorzy: Bouziane Abdelkader Hafid , Debbat Mohamed , Tahour Ahmed

Identyfikatory

DOI

10.15199/48.2022.07.14

Warianty tytułu

PL

Adaptacyjny sterownik FLC-GAFOPI dla turbiny wiatrowej opartej na WRSG

• Języki publikacji: EN

Abstrakty

EN

This paper deals with design of an adaptive fuzzy logic control-genetic algorithm fractional order-proportional and integral (AFLC-GAFOPI) for a wound rotor synchronous generator (WRSG), based on a variable speed wind energy conversion system (WECS), for improving its power output quality . The AFLC-GAFOPI represents a hybridization of two GAFOPI and AFLC controllers respectively. The first one is designed to upgrade the performance of the system . The second one is chosen to overcome the nonlinearity of the system. To demonstrate the efficiency of the AFLC-GAFOPI controller, a comparison with the GAFOPI controller was performed for different wind regimes. The outcomes clearly demonstrate that the designed controller outperforms the compared controller in terms of response, robustness and overshoot.

PL

W artykule zajęto się projektowaniem adaptacyjnego algorytmu sterowania rozmytego, opartego na systemie konwersji energii wiatru o zmiennej prędkości (WECS). jego jakość wyjściowa mocy. AFLC-GAFOPI reprezentuje hybrydyzację odpowiednio dwóch sterowników GAFOPI i AFLC. Pierwsza ma na celu podniesienie wydajności systemu. Drugi wybierany jest w celu przezwyciężenia nieliniowości systemu. Aby zademonstrować wydajność sterownika AFLC-GAFOPI, przeprowadzono porównanie ze sterownikiem GAFOPI dla różnych warunków wiatrowych. Wyniki jasno pokazują, że zaprojektowany sterownik przewyższa porównywany sterownik pod względem odpowiedzi, niezawodności i przeregulowania.

Słowa kluczowe

EN

adaptive fuzzy logic; fractional order; wind energy conversion system; wound rotor synchronous generator

PL

sterownik adaptacyjny; logika rozmyta; turbina wiatrowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 7
• Strony: 81--87
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Bouziane Abdelkader Hafid

• LSTE Laboratory, University Mustapha Stambouli of Mascara

autor

Debbat Mohamed

• LSTE Laboratory, University Mustapha Stambouli of Mascara

autor

Tahour Ahmed

• School of Applied Sciences Tlemcen

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).