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.
ENHANCING QUADCOPTER CONTROL: A MODEL REFERENCE ADAPTIVE CONTROL APPROACH WITH NEURAL NETWORKS
Bassolillo S. R.
;D'Amato E.
2024-01-01
Abstract
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.File in questo prodotto:
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