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Extendable Flight System for Commercial UAVs on ROS

Jingqi Jiang, Xuetao Zhang, Jing Yuan, Kaitao Tang, Xuebo Zhang

Year
2018
Citations
6

Abstract

In this work, we propose a flexible and extendable framework which is integrated into the Robot Operating System (ROS) on an onboard companion computer for DJI-autopilots based Unmanned Aerial Vehicles (UAVs). Specifically, considering that the DJI-autopilots do not directly support external position data except those obtained from GPS or DJI Guidance, to fully take advantages of the stability and reliability of DJI-autopilots, a high-level state estimator is designed to provide the position and velocity of the UAV. And an outer-loop geometric tracking controller that can compute the desired thrust and attitude is introduced to accomplish the flight tasks generated by a guidance module. Furthermore, this framework is convenient to be implemented because of well-defined communication interfaces on ROS. Finally, both Hardware-In-The-Loop (HIL) simulations and actual experiments are presented to demonstrate the effectiveness of the proposed framework.

Keywords

Computer sciencePosition (finance)EstimatorRobotGlobal Positioning SystemThrustTracking (education)Reliability (semiconductor)Stability (learning theory)Controller (irrigation)

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