A Novel Neural Network Model Applied to Modeling of a Tandem-Wing Quadplane Drone
This research focuses on modeling one of the Quadplane flight phases: a hover state, similar to a regular Quadcopter hovering. The process is highly non-linear, and additionally, there are more phenomena to take into account - it is related to air turbulence around the wings and the fuselage. This w...
Main Authors: | Micha Okulski And, Maciej Lawrynczuk |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9323029/ |
Similar Items
-
A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone
by: Michał Okulski, et al.
Published: (2022-07-01) -
Observer-Based Optimal Control of a Quadplane with Active Wind Disturbance and Actuator Fault Rejection
by: Zaidan Zyadat, et al.
Published: (2023-02-01) -
Deep neural network modeling for CFD simulation of drone bioinspired morphing wings
by: Florin Bogdan MARIN, et al.
Published: (2023-12-01) -
Neural Reflex Networks for Automating Quadcopter Drone Obstacle Avoidance
by: Marius Alexandru PANAIT
Published: (2022-06-01) -
Automatic Assessment of Buildings Location Fitness for Solar Panels Installation Using Drones and Neural Network
by: Ammar Alzarrad, et al.
Published: (2021-12-01)