Identification of Fixed-Wing Micro Aerial Vehicle Aerodynamic Derivatives from Dynamic Water Tunnel Tests

Krzysztof Sibilski , Mirosław Nowakowski , Dariusz Rykaczewski , Paweł Szczepaniak , Andrzej Żyluk , Anna Sibilska-Mroziewicz , Michał Garbowski , Wiesław Wróblewski

Abstract

A micro air vehicle (MAV) is a class of miniature unmanned aerial vehicles that has a size restriction and may be autonomous. Fixed-wing MAVs are very attractive for outdoor surveillance missions since they generally offer better payload and endurance capabilities than rotorcraft or flapping-wing vehicles of equal size. This research paper describes the methodology applying indicial function theory and artificial neural networks for identification of aerodynamic derivatives for fixed-wing MAV. The formulation herein proposed extends well- known aerodynamic theories, which are limited to thin aerofoils in incompressible flow, to strake wing planforms. Using results from dynamic water tunnel tests and indicial functions approach allowed to identify MAV aerodynamic derivatives. The experiments were conducted in a water tunnel in the course of dynamic tests of periodic oscillatory motion. The tests program range was set at high angles of attack and a wide scope of reduced frequencies of angular movements. Due to a built-in propeller, the model’s structure test program was repeated for a turned-on propelled drive system. As a result of these studies, unsteady aerodynamics characteristics and aerodynamic derivatives of the micro-aircraft were identified as functions of state parameters. At the Warsaw University of Technology and the Air Force Institute of Technology, a “Bee” fixed wings micro aerial vehicle with an innovative strake-wing outline and a propeller placed in the wing gap was worked. This article is devoted to the problems of identification of aerodynamic derivatives of this micro-aircraft. The result of this research was the identification of the aerodynamic derivatives of the fixed wing MAV “Bee” as non-linear functions of the angle of attack, and reduced frequency. The identification was carried out using the indicial function approach.
Author Krzysztof Sibilski (FPAE / IAAM)
Krzysztof Sibilski,,
- The Institute of Aeronautics and Applied Mechanics
, Mirosław Nowakowski - Instytut Techniczny Wojsk Lotniczych (ITWL)
Mirosław Nowakowski,,
-
, Dariusz Rykaczewski - Instytut Techniczny Wojsk Lotniczych (ITWL)
Dariusz Rykaczewski,,
-
, Paweł Szczepaniak - Instytut Techniczny Wojsk Lotniczych (ITWL)
Paweł Szczepaniak,,
-
, Andrzej Żyluk - Instytut Techniczny Wojsk Lotniczych (ITWL)
Andrzej Żyluk,,
-
, Anna Sibilska-Mroziewicz (FM / IMPh)
Anna Sibilska-Mroziewicz,,
- The Institute of Micromechanics and Photonics
, Michał Garbowski - Wroclaw Aircraft Maintenance Services (WAMS)
Michał Garbowski,,
-
, Wiesław Wróblewski - Wroclaw University of Science and Technology (PWr)
Wiesław Wróblewski,,
-
Journal seriesAerospace, ISSN 2226-4310
Issue year2020
Vol7
No8
Pages1-26
Publication size in sheets1.25
Article number116
Keywords in Englishwater tunnel experiments, micro aerial vehicles aerodynamics, aerodynamic derivatives, indicial functions application in unsteady aerodynamics modelling, low reynolds number aerodynamics, neural networks
DOIDOI:10.3390/aerospace7080116
URL https://www.mdpi.com/2226-4310/7/8/116/htm
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 02-09-2020, ArticleFromJournal
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