ICUAS 2019 Paper Abstract

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Paper ThA4.6

Schacht Rodríguez, Ricardo (CENTRO NACIONAL DE INVESTIGACION Y DESARROLLO TECNOLOGICO), Ponsart, Jean-Christophe (Université de Lorraine), Garcia Beltran, Carlos Daniel (Centro Nacional de Investigación y Desarrollo Tecnológico), Astorga-Zaragoza, Carlos (TECNOLÓGICO NACIONAL DE MÉXICO - CENIDET), Theilliol, Didier (University of Lorraine)

Mission Planning Strategy for Multirotor UAV Based on Flight Endurance Estimation

Scheduled for presentation during the Regular Session "Energy Efficient UAS" (ThA4), Thursday, June 13, 2019, 11:40−12:00, Savannah

2020 International Conference on Unmanned Aircraft Systems (ICUAS), June 11-14, 2019, Athens, Greece

This information is tentative and subject to change. Compiled on April 20, 2024

Keywords Energy Efficient UAS, Path Planning, Autonomy

Abstract

In order to extend the flight capabilities and to improve the energy consumption of multirotor UAV, a mission planning strategy dependent on flight endurance estimation is presented. The flight endurance usually represents the time from take-off to landing and it is closely related to energy capabilities of the power source on-board. To execute a mission for a certain application requires an accurate measurement or estimation of the total flight endurance during the progress of the mission or even before to launch it to determine the flight limitations. In that sense, this paper proposes a mission planning strategy based on flight endurance estimation considering model-based Prognosis techniques for known and outdoor environments. By considering the mathematical model of propulsion system (Brushless DC motors and battery) an endurance model able to determines the total flight endurance before to launch a mission is proposed. Then, by means of a model-based Prognosis approach the flight endurance is estimated during the flight and the remaining mission time is computed in order to verify if the initial mission requirements are satisfied or not to fulfill the mission

 

 

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