Lima, Rogerio (West Virginia University), Pereira, Guilherme (West Virginia University)

On the Development of a Tether-Based Drone Localization System

Scheduled for presentation during the Regular Session "Sensor Fusion I" (WeA4), Wednesday, June 16, 2021, 11:50−12:10, Naoussa

2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 15-18, 2021, Athens, Greece

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

This paper proposes an approach for localization of tethered drones using information from the shape of the tether and the vehicles' inertial data. Our approach relies on the fact that, in static or quasi-static conditions, a flexible tether will assume a catenary shape, thus allowing the use of known equations to formulate the localization algorithm. These equations are based on tether variables such as tether length, tension, and azimuth and elevation angles on both endpoints. To deal with uncertainties and to improve localization performance, a sensor fusion algorithm based on the Extended Kalman Filter (EKF) is applied. In this preliminary validation, we tested our method through experiments with a static real-world tether, and simulations with a drone in slow flight. In both cases, the proposed method successfully estimated positions in the presence of noisy measurements.