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A Moving Path Following Approach for Trajectory Optimization of UAVs: An application for target tracking of marine vehicles

Title
A Moving Path Following Approach for Trajectory Optimization of UAVs: An application for target tracking of marine vehicles
Type
Article in International Conference Proceedings Book
Year
2016
Authors
Rucco, A
(Author)
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João Tasso Sousa
(Author)
FEUP
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Conference proceedings International
Pages: 1297-1302
2016 European Control Conference, ECC 2016
29 June 2016 through 1 July 2016
Other information
Authenticus ID: P-00M-HV9
Abstract (EN): In this paper we propose a novel numerical approach to the design of smooth trajectories for fixed-wing Unmanned Aerial Vehicles (UAVs) with applications to target tracking of marine vehicles. Given a desired geometric path with respect to a possible moving target vehicle, we are interested in computing a feasible UAV trajectory that best approximates in L-2 sense the desired geometric moving path with a specified airspeed profile assigned on it. Due to communication range limitations (e.g., the UAV is operating as a wireless communication relay between a target vehicle and a ground station), the UAV trajectory needs to satisfy given path constraints. Space-varying wind is also taken into account. We address this problem by taking a Virtual Target Vehicle (VTV) perspective. We set up a suitable optimal control problem based on the error coordinates between the UAV and the VTV. We solve the optimal control problem numerically by using PRONTO, a very versatile control optimization tool enabling to deal with a wide variety of trajectory functionals and constraints. We provide and discuss numerical computations based on a practical scenario where an Autonomous Surface Vehicle (the target vehicle) transmits data to the UAV which sends them back to a ground station.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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A model predictive control-based architecture for cooperative path-following of multiple unmanned aerial vehicles (2015)
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Rucco, A; Aguiar, AP; fontes, facc; Fernando Lobo Pereira; João Tasso Sousa
A Predictive Path-Following Approach for Fixed-Wing Unmanned Aerial Vehicles in Presence of Wind Disturbances (2016)
Article in International Conference Proceedings Book
Rucco, A; Aguiar, AP; Fernando Lobo Pereira; João Tasso Sousa
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