34th Congress of the International Council of the Aeronautical Sciences

06.2 - Flight Dynamics and Control (UAV related)

ENHANCING QUADCOPTER CONTROL: A MODEL REFERENCE ADAPTIVE CONTROL APPROACH WITH NEURAL NETWORKS

S.R. Bassolillo¹, G. Raspaolo², L. Blasi², E. D'Amato¹; ¹Università degli Studi di Napoli Parthenope, Italy ;²Università degli Studi della Campania L. Vanvitelli, Italy

In recent decades, multirotor flying vehicles have garnered significant attention due to their diverse configurations and versatility. This paper focuses on the design and testing of a flight control scheme employing Model Reference Adaptive Control with Neural Networks. The effectiveness of the proposed controller is demonstrated through numerical simulations on a detailed nonlinear simulator and experimental results.


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