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Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

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  • Myeong-hwan Hwang

    (EV Components & Materials R&D Group, Korea Institute of Industrial Technology, 6 Cheomdan-gwagiro, 208 beon-gil, Buk-gu, Gwangju 61012, Korea)

  • Hyun-Rok Cha

    (EV Components & Materials R&D Group, Korea Institute of Industrial Technology, 6 Cheomdan-gwagiro, 208 beon-gil, Buk-gu, Gwangju 61012, Korea)

  • Sung Yong Jung

    (Department of Mechanical Engineering, Chosun University, 309 Pilmun-Daero, Dong-gu, Gwangju 61452, Korea)

Abstract

The practically applicable endurance estimation method for multirotor unmanned aerial vehicles (UAVs) using a battery as a power source is proposed. The method considers both hovering and steady-level flights. The endurance, thrust, efficiency, and battery discharge are determined with generally available data from the manufacturer. The effects of the drag coefficient related to vehicle shape and payload weight are examined at various forward flight speeds. As the drag coefficient increases, the optimum speed at the minimum required power and the maximum endurance are reduced. However, the payload weight causes an opposite effect, and the optimal flying speed increases with an increase in the payload weight. For more practical applications for common users, the value of S × C d is determined from a preliminary flight test. Given this value, the endurance is numerically estimated and validated with the measured flight time. The proposed method can successfully estimate the flight time with an average error of 2.3%. This method would be useful for designers who plan various missions and select UAVs.

Suggested Citation

  • Myeong-hwan Hwang & Hyun-Rok Cha & Sung Yong Jung, 2018. "Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles," Energies, MDPI, vol. 11(9), pages 1-11, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2221-:d:165660
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    References listed on IDEAS

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    1. Rao, Bharat & Gopi, Ashwin Goutham & Maione, Romana, 2016. "The societal impact of commercial drones," Technology in Society, Elsevier, vol. 45(C), pages 83-90.
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    Cited by:

    1. Jianxun Li & Hao Liu & Kin Keung Lai & Bhagwat Ram, 2022. "Vehicle and UAV Collaborative Delivery Path Optimization Model," Mathematics, MDPI, vol. 10(20), pages 1-22, October.
    2. Kim Seongheon & Kim Suhwan, 2022. "VRP of Drones Considering Power Consumption Rate and Wind Effects," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 210-221, January.
    3. Aleksandra Tiurlikova & Nikita Stepanov & Konstantin Mikhaylov, 2019. "Wireless power transfer from unmanned aerial vehicle to low-power wide area network nodes: Performance and business prospects for LoRaWAN," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.
    4. Lahiry, Archiman & Le, Khoa N. & Bao, Vo Nguyen Quoc & Tam, Vivian W.Y., 2023. "Performance Analysis of Unmanned Aerial Vehicle Enabled Wireless Power Transfer Considering Radio Frequency System Imperfections," Energy, Elsevier, vol. 267(C).

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