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Autonomous Wireless Self-Charging for Multi-Rotor Unmanned Aerial Vehicles

Author

Listed:
  • Ali Bin Junaid

    (Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK)

  • Aleksay Konoiko

    (Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK)

  • Yahya Zweiri

    (Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK
    Visiting Associate Professor, Robotics Institute, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi 999041, UAE)

  • M. Necip Sahinkaya

    (Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK)

  • Lakmal Seneviratne

    (Robotics Institute, Khalifa University of Science and Technology, P.O. Box 127788, Abu Dhabi 999041, UAE)

Abstract

Rotary-wing unmanned aerial vehicles (UAVs) have the ability to operate in confined spaces and to hover over point of interest, but they have limited flight time and endurance. Conventional contact-based charging system for UAVs has been used, but it requires high landing accuracy for proper docking. Instead of the conventional system, autonomous wireless battery charging system for UAVs in outdoor conditions is proposed in this paper. UAVs can be wirelessly charged using the proposed charging system, regardless of yaw angle between UAVs and wireless charging pad, which can further reduce their control complexity for autonomous landing. The increased overall mission time eventually relaxes the limitations on payload and flight time. In this paper, a cost effective automatic recharging solution for UAVs in outdoor environments is proposed using wireless power transfer (WPT). This research proposes a global positioning system (GPS) and vision-based closed-loop target detection and a tracking system for precise landing of quadcopters in outdoor environments. The system uses the onboard camera to detect the shape, color and position of the defined target in image frame. Based on the offset of the target from the center of the image frame, control commands are generated to track and maintain the center position. Commercially available AR.Drone. was used to demonstrate the proposed concept which is equppied with bottom camera and GPS. Experiments and analyses showed good performance, and about 75% average WPT efficiency was achieved in this research.

Suggested Citation

  • Ali Bin Junaid & Aleksay Konoiko & Yahya Zweiri & M. Necip Sahinkaya & Lakmal Seneviratne, 2017. "Autonomous Wireless Self-Charging for Multi-Rotor Unmanned Aerial Vehicles," Energies, MDPI, vol. 10(6), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:803-:d:101293
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    Citations

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    Cited by:

    1. Aqeel Mahmood Jawad & Rosdiadee Nordin & Sadik Kamel Gharghan & Haider Mahmood Jawad & Mahamod Ismail & Mahmood Jawad Abu-AlShaeer, 2018. "Single-Tube and Multi-Turn Coil Near-Field Wireless Power Transfer for Low-Power Home Appliances," Energies, MDPI, vol. 11(8), pages 1-19, July.
    2. Aaron Shmaryahu & Nissim Amar & Alexander Ivanov & Ilan Aharon, 2021. "Sizing Procedure for System Hybridization Based on Experimental Source Modeling for Electric Vehicles," Energies, MDPI, vol. 14(17), pages 1-21, August.
    3. Faraci, Giuseppe & Raciti, Angelo & Rizzo, Santi Agatino & Schembra, Giovanni, 2020. "Green wireless power transfer system for a drone fleet managed by reinforcement learning in smart industry," Applied Energy, Elsevier, vol. 259(C).
    4. Mohammad Junaid & Zsolt Szalay & Árpád Török, 2021. "Evaluation of Non-Classical Decision-Making Methods in Self Driving Cars: Pedestrian Detection Testing on Cluster of Images with Different Luminance Conditions," Energies, MDPI, vol. 14(21), pages 1-16, November.
    5. Tommaso Campi & Silvano Cruciani & Mauro Feliziani, 2018. "Wireless Power Transfer Technology Applied to an Autonomous Electric UAV with a Small Secondary Coil," Energies, MDPI, vol. 11(2), pages 1-15, February.
    6. Jaehyun Kim & Chanwoo Moon, 2019. "A Robot System Maintained with Small Scale Distributed Energy Sources," Energies, MDPI, vol. 12(20), pages 1-16, October.
    7. Marojahan Tampubolon & Laskar Pamungkas & Huang-Jen Chiu & Yu-Chen Liu & Yao-Ching Hsieh, 2018. "Dynamic Wireless Power Transfer for Logistic Robots," Energies, MDPI, vol. 11(3), pages 1-13, February.
    8. Abdullah Mohiuddin & Tarek Taha & Yahya Zweiri & Dongming Gan, 2019. "UAV Payload Transportation via RTDP Based Optimized Velocity Profiles," Energies, MDPI, vol. 12(16), pages 1-25, August.
    9. Aqeel Mahmood Jawad & Rosdiadee Nordin & Haider Mahmood Jawad & Sadik Kamel Gharghan & Asma’ Abu-Samah & Mahmood Jawad Abu-Alshaeer & Nor Fadzilah Abdullah, 2022. "Wireless Drone Charging Station Using Class-E Power Amplifier in Vertical Alignment and Lateral Misalignment Conditions," Energies, MDPI, vol. 15(4), pages 1-29, February.
    10. Tommaso Campi & Silvano Cruciani & Francesca Maradei & Mauro Feliziani, 2021. "Efficient Wireless Drone Charging Pad for Any Landing Position and Orientation," Energies, MDPI, vol. 14(23), pages 1-14, December.
    11. Matjaz Rozman & Michael Fernando & Bamidele Adebisi & Khaled M. Rabie & Tim Collins & Rupak Kharel & Augustine Ikpehai, 2017. "A New Technique for Reducing Size of a WPT System Using Two-Loop Strongly-Resonant Inductors," Energies, MDPI, vol. 10(10), pages 1-18, October.
    12. Tommaso Campi & Silvano Cruciani & Francesca Maradei & Mauro Feliziani, 2019. "Innovative Design of Drone Landing Gear Used as a Receiving Coil in Wireless Charging Application," Energies, MDPI, vol. 12(18), pages 1-20, September.
    13. Mohammad Fatin Fatihur Rahman & Shurui Fan & Yan Zhang & Lei Chen, 2021. "A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture," Agriculture, MDPI, vol. 11(1), pages 1-26, January.
    14. Andrea Carloni & Federico Baronti & Roberto Di Rienzo & Roberto Roncella & Roberto Saletti, 2021. "On the Sizing of the DC-Link Capacitor to Increase the Power Transfer in a Series-Series Inductive Resonant Wireless Charging Station," Energies, MDPI, vol. 14(3), pages 1-13, January.

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