Crop monitoring and farm activities with innovative systems, as Unmanned Aerial Vehicles, is an undergoing research known as fourth agricultural revolution. In our paper, two different farming scenarios are proposed, in which a trajectory tracking based on Model Predictive Control is proposed in combination with a waypoint-based guidance algorithm. This Guidance and Control algorithm is also combined with an on-board sensor to characterize the measured data. Simulations are performed to show the effectiveness of the proposed control scheme.

Waypoint Tracking via Tube-based Robust Model Predictive Control for Crop Monitoring with Fixed-Wing UAVs / Mammarella, Martina; Ristorto, Gianluca; Capello, Elisa; Bloise, Nicoletta; Guglieri, Giorgio; Dabbene, Fabrizio. - ELETTRONICO. - (2019), pp. 19-24. (Intervento presentato al convegno 2019 IEEE International Workshop on Metrology for Agriculture and Forestry tenutosi a Portici (ITA) nel 24-26/10/2019) [10.1109/MetroAgriFor.2019.8909260].

Waypoint Tracking via Tube-based Robust Model Predictive Control for Crop Monitoring with Fixed-Wing UAVs

Martina Mammarella;Gianluca Ristorto;Elisa Capello;Nicoletta Bloise;Giorgio Guglieri;Fabrizio Dabbene
2019

Abstract

Crop monitoring and farm activities with innovative systems, as Unmanned Aerial Vehicles, is an undergoing research known as fourth agricultural revolution. In our paper, two different farming scenarios are proposed, in which a trajectory tracking based on Model Predictive Control is proposed in combination with a waypoint-based guidance algorithm. This Guidance and Control algorithm is also combined with an on-board sensor to characterize the measured data. Simulations are performed to show the effectiveness of the proposed control scheme.
2019
978-1-7281-3611-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2764432
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