Identification of longitudinal aerodynamic characteristics of a strake-wing micro aerial vehicle by using artificial neural networks

• Autorzy: Rykaczewski Dariusz , Nowakowski Mirosław , Sibilski Krzysztof , Wróblewski Wiesław , Garbowski Michał

Identyfikatory

DOI

10.24425/bpasts.2021.137508

• Języki publikacji: EN

Abstrakty

EN

Appropriate modeling of unsteady aerodynamic characteristics is required for the study of aircraft dynamics and stability analysis, especially at higher angles of attack. The article presents an example of using artificial neural networks to model such characteristics. The effectiveness of this approach was demonstrated on the example of a strake-wing micro aerial vehicle. The neural model of unsteady aerodynamic characteristics was identified from the dynamic test cycles conducted in a water tunnel. The aerodynamic coefficients were modeled as a function of the flow parameters. The article presents neural models of longitudinal aerodynamic coefficients: lift and pitching moment as functions of angles of attack and reduced frequency. The modeled and trained aerodynamic coefficients show good consistency. This method manifests great potential in the construction of aerodynamic models for flight simulation purposes.

Słowa kluczowe

EN

water tunnel measurements; neural networks; unsteady aerodynamic characteristics; low Reynolds number aerodynamics

PL

pomiary w tunelu wodnym; sieci neuronowe; niestabilna charakterystyka aerodynamiczna; niska aerodynamika liczby Reynoldsa

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2021
• Tom: Vol. 69, nr 4
• Strony: art. no. e137508
• Opis fizyczny: Bibliogr. 43 poz., rys.

Twórcy

autor

Rykaczewski Dariusz

• Air Force Institute of Technology, ul. Księcia Bolesława 6, 01-494 Warsaw, Poland

• https://orcid.org/0000-0003-1200-5020

autor

Nowakowski Mirosław

• Air Force Institute of Technology, ul. Księcia Bolesława 6, 01-494 Warsaw, Poland

• https://orcid.org/0000-0001-6438-5235

autor

Sibilski Krzysztof

• Warsaw University of Technology, Faculty of Power and Aeronautical Engineering, ul. Nowowiejska 24, 00-665 Warsaw, Poland

• https://orcid.org/0000-0001-8633-8923

autor

Wróblewski Wiesław

• Wroclaw University of Technology, Faculty Mechanical and Power Engineering, ul. Wyb. Wyspiańskiego 27, 50-370 Wroclaw, Poland

• https://orcid.org/0000-0002-5582-4870

autor

Garbowski Michał

• Wroclaw Aircraft Maintenance Services Ltd., ul. Św. Mikołaja 19, 50-062 Wroclaw, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).