Abstract
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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This work was supported by JSPS KAKENHI Grant Number JP20K19793 and JSPS KAKENHI Grant Number JP23KJ2123.
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Saito, N., Oda, T., Nagai, Y., Wakabayashi, K., Yukawa, C., Barolli, L. (2024). A Hill Climbing System for Optimizing Component Selection of Multirotor UAVs. In: Barolli, L. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 193. Springer, Cham. https://doi.org/10.1007/978-3-031-53555-0_51
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DOI: https://doi.org/10.1007/978-3-031-53555-0_51
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