Real-Time System based on a Neural Network and PID Flight Control

Authors

Valeria Artale, Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, ItalyFollow
Mario Collotta, Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, ItalyFollow
Cristina Milazzo, Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, ItalyFollow
Giovanni Pau, Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, ItalyFollow
Angela Ricciardello, Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, ItalyFollow

Author Country (or Countries)

Italy

Abstract

The modern flight control systems are complex since they have a non-linear nature. Also, modern aerospace vehicles are expected to have non-conventional flight envelopes and, in order to operate in uncertain environments, they must guarantee a high level of robustness and adaptability. A Neural Networks controller can be used in applications with manned or unmanned aerial vehicles. The paper shows the mathematical model for hexacopter dynamics and a comparison between two different technique for stabilization and trajectory control: proportional,integral, derivative controller and real rime system controller based on Neural Networks. Numerical simulations are performed in order to validate both mathematical model and control approaches.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/100202

Recommended Citation

Artale, Valeria; Collotta, Mario; Milazzo, Cristina; Pau, Giovanni; and Ricciardello, Angela (2016) "Real-Time System based on a Neural Network and PID Flight Control," Applied Mathematics & Information Sciences: Vol. 10: Iss. 2, Article 2.
DOI: http://dx.doi.org/10.18576/amis/100202
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss2/2