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Simulation and Control Design of a Midrange WPT Charging System for In-Flight Drones

Author

Listed:
  • Oussama Allama

    (IoT & Wireless Communication Protocols Laboratory, Department of Electrical Computer Engineering, International Islamic University, Kuala Lumpur 53100, Malaysia)

  • Mohamed Hadi Habaebi

    (IoT & Wireless Communication Protocols Laboratory, Department of Electrical Computer Engineering, International Islamic University, Kuala Lumpur 53100, Malaysia)

  • Sheroz Khan

    (Department of Electrical and Renewable Energy Engineering, Unaizah Colleges of Engineering, Unaizah 56453, Saudi Arabia)

  • Md. Rafiqul Islam

    (IoT & Wireless Communication Protocols Laboratory, Department of Electrical Computer Engineering, International Islamic University, Kuala Lumpur 53100, Malaysia)

  • Abdullah Alghaihab

    (Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

Abstract

Drones, or unmanned aerial vehicles (UAVs), have emerged as an indispensable tool across numerous industries due to their remarkable versatility, efficiency, and capabilities. Notwithstanding all these traits, drones are still limited by battery life. In this paper, we propose a genuine in-flight charging method without landing. The charging system consists of three orthogonal coils, among which the receiving coil is connected to the drone. The development of the model for wireless dynamic charging systems is achieved by integrating the receiver trajectory and velocity in the model. Furthermore, the model is significantly enhanced by introducing the concept of the positioning mutual coupling function for the receiver trajectory; thus, it is possible to simulate a genuine continuous trajectory for UAVs and link it to the systems’ total input power consumption. The developed control algorithm can direct the magnetic field resultant to track the exact trajectory of the drone. The real-time simulation of the multiparameter discrete extremum-seeking control (ESC) algorithm on the (DSP) F28379D hardware shows that the input power is maximized up to 12 W in a response time of 2 ms for a drone-hovering velocity of 8 m/s without any feedback.

Suggested Citation

  • Oussama Allama & Mohamed Hadi Habaebi & Sheroz Khan & Md. Rafiqul Islam & Abdullah Alghaihab, 2023. "Simulation and Control Design of a Midrange WPT Charging System for In-Flight Drones," Energies, MDPI, vol. 16(15), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5746-:d:1208340
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    References listed on IDEAS

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    1. Elisa de Melo Henriques & Sascha Stegen, 2023. "Concave Ferrite Core for Wireless Power Transfer (WPT)," Energies, MDPI, vol. 16(12), pages 1-15, June.
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