Simulation and Control Design of a Midrange WPT Charging System for In-Flight Drones
Author:
Allama Oussama1, Habaebi Mohamed Hadi1ORCID, Khan Sheroz2ORCID, Islam Md. Rafiqul1, Alghaihab Abdullah3
Affiliation:
1. IoT & Wireless Communication Protocols Laboratory, Department of Electrical Computer Engineering, International Islamic University, Kuala Lumpur 53100, Malaysia 2. Department of Electrical and Renewable Energy Engineering, Unaizah Colleges of Engineering, Unaizah 56453, Saudi Arabia 3. 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.
Funder
King Saud University, Riyadh, Saudi Arabia
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference30 articles.
1. Wireless Power Transfer Antenna Alignment Using Intermodulation for Two-Tone Powered Implantable Medical Devices;Zhang;IEEE Trans. Microw. Theory Tech.,2019 2. Khalil, H., Rahman, S.U., Ullah, I., Khan, I., Alghadhban, A.J., Al-Adhaileh, M.H., Ali, G., and ElAffendi, M. (2022). A UAV-Swarm-Communication Model Using a Machine-Learning Approach for Search-and-Rescue Applications. Drones, 6. 3. Anyapo, C., and Intani, P. (2020, January 15–19). Wireless Power Transfer for Autonomous Underwater Vehicle. Proceedings of the 2020 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW), Seoul, Republic of Korea. 4. Yu, L., Wu, L., Zhu, Y., Cao, X., Zhang, G., and Xiang, S. (2022). Wireless Charging Concave Coil Design for UAVs. Electronics, 11. 5. Sustainable wireless sensor networks with UAV-enabled wireless power transfer;Hu;IEEE Trans. Veh. Technol.,2021
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