Similarity: Development of an Attitude Control System of a Heavy-lift Hexacopter using Elman Recurrent Neural Networks

Suprapto, Bhakti Yudho (2016) Similarity: Development of an Attitude Control System of a Heavy-lift Hexacopter using Elman Recurrent Neural Networks. 2016 22nd International Conference on Automation and Computing (ICAC), International Conference on Automation and Computing (ICAC).

Text (Similarity Benyamin 2016) Benyamin_ithenticate.pdf - Published Version Download (1MB)

Abstract

Hexacopter is a type of multicopter that can be used to lift a heavy load, hence very convinient to be utilised in agricultural fields. As the consequence, however, the attitude control of this hexacopter is rather difficult compare with that of a quadcopter with four motors, due to gyroscopic effet of the additional motors and in its combination with the heavy loads. In this paper, we have developed a direct inverse controller system using an Elman neural networks for the attitude and altitude control of the hexacopter. Experiments are conductet using a flight data taken from a test-bed system. Results show that the attitude characteritics of the heavy-lift hexacopter can be controlled successfully, especially when an optimized Elman neural networks as the direct inverse controller system is utilized

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Mr. Bhakti Suprapto
Date Deposited:	18 Apr 2023 09:13
Last Modified:	18 Apr 2023 09:13
URI:	http://repository.unsri.ac.id/id/eprint/94704

Actions (login required)

View Item