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

Published in:	Aerospace
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
Subjects:	tilt-rotor flight control deep learning data-driven control model
Online Access:	https://www.mdpi.com/2226-4310/11/1/96