- Tytuł:
- Experimental study and neural network modelling of aerodynamic and dynamic characteristics of flapping wings micro aerial vehicle
- Autorzy:
-
Czekałowski, P.
Sibilski, K.
Żyluk, A. - Powiązania:
- https://bibliotekanauki.pl/articles/242331.pdf
- Data publikacji:
- 2018
- Wydawca:
- Instytut Techniczny Wojsk Lotniczych
- Tematy:
-
entomopter
flapping wings
aerodynamics
neural network
modelling
aerodynamika
sieć neuronowa
modelowanie - Opis:
- The article is close connected with building flying object, that fly like an insect (entomopter). Present work concerns on concept of aerodynamic model using artificial neural networks. Model is used in simulations of flight of entomopter. Aerodynamic model based on experimental data. Necessary data are taken from experiment performed in water tunnel on entomopter model. For this case dynamic test are required. Measurements are ducted during sinusoidal motion of whole model. Modelled object is dipterous. Each wing can perform various spherical motions (wing is rotated around point). The motion of the wing in this case was two-dimensional; it was rotated around two axis. As a model, specially trained neural network is used. For training are used data from measurement. Presented in this article approach is based on artificial neural networks. In this article, innovative concept of model, describing unsteady aerodynamics of entomopter was proposed. It was shown that it could be easily implemented as mathematical model. Unsteady effects related to many state variables can be easily captured. Model can be easily adopted to predict different states of flight by networks training on appropriate data. Test has to reproduce real conditions as close, as it is possible. In reality, it is challenging to design test that will reproduce similar motion.
- Źródło:
-
Journal of KONES; 2018, 25, 4; 49-57
1231-4005
2354-0133 - Pojawia się w:
- Journal of KONES
- Dostawca treści:
- Biblioteka Nauki
Artykuł