A Predictive Path-Following Approach for Fixed-Wing Unmanned Aerial Vehicles in Presence of Wind Disturbances

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Rucco, A (Author) Other; Aguiar, AP (Author) FEUP; Fernando Lobo Pereira (Author) FEUP; João Tasso Sousa (Author) FEUP

Conference proceedings International

Title: ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1

Pages: 623-634

2nd Iberian Robotics Conference (ROBOT)

Lisbon, PORTUGAL, NOV 19-21, 2015

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 16 Citations

Other information

Authenticus ID: P-00K-29Y

DOI: 10.1007/978-3-319-27146-0_48

Abstract (EN): In this paper we address the path-following problem for fixed-wing Unmanned Aerial Vehicles (UAVs) in presence of wind disturbances. Given a desired path with a specified airspeed profile assigned on it, the goal is to follow the desired maneuver while minimizing the control effort. We propose a predictive path following control scheme based on trajectory optimization techniques, to compute feasible UAV trajectories, combined with a sample-data Model Predictive Control (MPC) approach, to handle the wind field. By explicitly addressing the wind field, the UAV exploits the surrounding environment thus extending its capabilities in executing the desired maneuver. We provide numerical computations based on straight line and circular paths under various wind conditions. The computations allow us to highlight the benefits of the proposed control scheme.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12