The propulsion system in multirotor Unmanned Aerial Vehicle (UAV) affects the flight speed, operating time and payload of UAVs. The propulsion system consists of a motor, propeller, electronic speed controller, power distribution board and battery. When implementing a multirotor UAV, the selection of components is very important in order to achieve the operational objectives. Among the components, the propulsion system significantly affects the operation time of UAVs. In the component selection process, the components should be combined to meet the required performance. Also, it should be considered the compatibility between components. This requires much time and effort to select the appropriate combination of components. Therefore, it is needed an efficient method for selection of most suitable components for achieving the operation objectives. In this paper, we propose an optimisation method based on Hill Climbing (HC) algorithm for selecting the components of a propulsion system in a multirotor UAVs. For simulation of component selection we considered three types of multirotor UAVs: quadrotor, hexacopter and octocopter. The evaluation results show that each component is compatible and the proposed system selected a good combination of components.


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    Titel :

    A Hill Climbing System for Optimizing Component Selection of Multirotor UAVs


    Weitere Titelangaben:

    Lect. Notes on Data Eng. and Comms.Technol.


    Beteiligte:
    Barolli, Leonard (Herausgeber:in) / Saito, Nobuki (Autor:in) / Oda, Tetsuya (Autor:in) / Nagai, Yuki (Autor:in) / Wakabayashi, Kyohei (Autor:in) / Yukawa, Chihiro (Autor:in) / Barolli, Leonard (Autor:in)

    Kongress:

    International Conference on Emerging Internet, Data & Web Technologies ; 2024 ; Naples, Italy February 21, 2024 - February 23, 2024



    Erscheinungsdatum :

    14.02.2024


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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