Deep neural network modeling for CFD simulation of drone bioinspired morphing wings
In this paper we present a deep neural network modelling using Computational Fluid Dynamics (CFD) simulations data in order to optimize control of bioinspired morphing wings of a drone. Drones flight needs to consider variation in aerodynamic conditions that cannot all be optimized using a fixed aer...
Main Authors: | Florin Bogdan MARIN, Daniela Laura BURUIANA, Viorica GHISMAN, Mihaela MARIN |
---|---|
Format: | Article |
Language: | English |
Published: |
National Institute for Aerospace Research “Elie Carafoli” - INCAS
2023-12-01
|
Series: | INCAS Bulletin |
Subjects: | |
Online Access: | https://bulletin.incas.ro/files/marin-f-b_buruiana_ghisman_marin_m__vol_15_iss_4.pdf |
Similar Items
-
CFD modeling for urban blast simulation
by: Florin Bogdan MARIN, et al.
Published: (2024-03-01) -
Drone Detection Using Image Processing Based on Deep Learning
by: Florin-Bogdan MARIN, et al.
Published: (2021-12-01) -
CFD Modeling and Simulation of an Industrial Hall
by: Florin-Bogdan MARIN, et al.
Published: (2021-12-01) -
Wind Defiant Morphing Drones
by: Charalampos Vourtsis, et al.
Published: (2023-03-01) -
CFD Modeling and Simulation of a Tiny House in Extreme Weather Conditions
by: Florin-Bogdan MARIN, et al.
Published: (2022-12-01)