A Deep Learning Approach for Trajectory Control of Tilt-Rotor UAV

A Deep Learning Approach for Trajectory Control of Tilt-Rotor UAV

This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a proportional–integral–derivative controller to...

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Bibliographic Details
Main Authors: Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya, Rayhan Ekananto Limansubroto
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Aerospace
Subjects:
tilt-rotor
flight control
deep learning
data-driven control model
Online Access:https://www.mdpi.com/2226-4310/11/1/96

Internet

https://www.mdpi.com/2226-4310/11/1/96

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