Drones, particularly when deployed in swarms, hold immense potential for various applications, such as aerial imaging, delivery services, disaster response, and advanced surveillance. Their effective and efficient use, however, hinges on the accurate estimation of energy consumption. This study focuses on determining energy consumption patterns for small drones weighing less than 2 kg and with diameters under 1 m. Through an extensive series of test flights, empirical energy consumption data was collected and used to develop four distinct energy models: a theoretical model based on fundamental flight forces, a simple linear regression model, a cubic polynomial regression model, and a machine learning-based model using the XGBoost Regressor algorithm. A cost function for swarm topology control was also derived for assessing energy consumption during various activities, like connectivity restoration and formation change, facilitating more energy-efficient decision-making in swarm operations. Our findings highlighted an energy-efficient “valley” within the airspeed range, indicating that flying at speeds outside this range results in higher energy consumption. The machine learning model demonstrated superior accuracy within its training range, achieving an R2 of 0.9999, whereas the polynomial regression model was deemed best for extrapolation purposes, delivering an R2 of 0.966. Simple linear regression and theoretical models, although less accurate, can offer quick energy demand calculations and insights into the effects of hardware modifications, respectively.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Energy Consumption of Small Drones for Swarm Missions


    Beteiligte:
    Cabuk, Umut Can (Autor:in) / Tosun, Mustafa (Autor:in) / Dagdeviren, Orhan (Autor:in) / Ozturk, Yusuf (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.08.2024


    Format / Umfang :

    13088272 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Swarm Path Planning for the Deployment of Drones in Emergency Response Missions

    Anastasiou, A. / Kolios, P. / Panayiotou, C. et al. | IEEE | 2020


    Using drones in fire-fighting missions

    Radkov, V. / Aleksandrova, V. / Guncheva, A. | TIBKAT | 2019

    Freier Zugriff

    DISASTER EVACUATION USING SWARM DRONES

    KIM WON TAE / LEE SEUNGGI / KIM KWAN HYUCK et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Flying Swarm of Drones Over Circulant Digraph

    Bogdanowicz, Zbigniew R. | IEEE | 2017


    Scheduling a Fleet of Drones for Monitoring Missions With Spatial, Temporal, and Energy Constraints

    Rigas, Emmanouil S. / Kolios, Panayiotis / Mavrovouniotis, Michalis et al. | IEEE | 2022