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Evaluation of Light Electric Flying-Wing Unmanned Aerial System Energy Consumption During Holding Maneuver

Author

Listed:
  • Artur Kierzkowski

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland)

  • Bartłomiej Dziewoński

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland)

  • Krzysztof Kaliszuk

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland)

  • Mateusz Kucharski

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wroclaw, Poland)

Abstract

This study evaluates the energy consumption of a light electric flying-wing unmanned aerial system (UAS) during low-altitude holding maneuvers. Two flight patterns were investigated: circular holding at a specified altitude and a figure-eight trajectory. Test flights were conducted under varying meteorological and wind conditions, including scenarios where wind aligned and crossed the flight path. Key flight parameters such as pitch, yaw, heading deviation, flight altitude, ground speed, and airspeed were monitored. Concurrently, current and battery voltage were measured to compute the instantaneous power consumption of the propulsion system. This approach allowed for the determination and comparison of energy consumption across the two holding patterns. The outcomes contribute to a better understanding of power efficiency during prolonged flight maneuvers, supporting advancements in autonomous low-altitude UAS operations.

Suggested Citation

  • Artur Kierzkowski & Bartłomiej Dziewoński & Krzysztof Kaliszuk & Mateusz Kucharski, 2025. "Evaluation of Light Electric Flying-Wing Unmanned Aerial System Energy Consumption During Holding Maneuver," Energies, MDPI, vol. 18(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1300-:d:1606743
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    References listed on IDEAS

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    1. Mengtang Li & Guoku Jia & Xun Li & Hao Qiu, 2023. "Efficient Trajectory Planning for Optimizing Energy Consumption and Completion Time in UAV-Assisted IoT Networks," Mathematics, MDPI, vol. 11(20), pages 1-19, October.
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