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High misalignment‑tolerant wireless charging magnetic coupling system with combined pickups for UAVs

  • Nenghong Xia (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Shuang Yan (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Fangshen Li (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Huaqi Ma (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Mengqi Chen (College of Electrical Engineering, Shanghai University of Electric Power) ;
  • Xike Mao (College of Electrical Engineering, Shanghai University of Electric Power)
  • Received : 2024.01.29
  • Accepted : 2024.09.14
  • Published : 2025.04.20

Abstract

This paper proposes a wireless charging magnetic coupling system for unmanned aerial vehicles (UAV) that is highly misalignment adaptable. The receiver is designed as a combined pickup with four receiving solenoids installed on the four legs of the UAV to improve the rotational misalignment tolerance of the system. They pick up magnetic energy in four directions and are close enough to the transmitting coil to achieve highly efficient coupling while being far enough from the UAV cabin to avoid electromagnetic interference from wireless charging leakage. The transmitter is an array structure based on a series magnetic field consisting of rectangular coils connected in sequence and wound in reverse, with a series magnetic field generated by any two adjacent coils. Several UAVs are placed separately at intervals on the transmitting coil to ensure practicality and improve the system transmission efficiency. Considering the complexity of connecting multiple coils of the transmitter, quad rectangular coils (QD coil) were connected in reverse series as a unit and used as the transmitting coil to investigate the feasibility of the system. By optimizing the chamfer radian of the rectangular coil in the transmitter, the receiver becomes highly compatible with it, enabling the system to have a strong anti-offset capability. A 70-W prototype was developed to validate the proposed system and the experiment results show that under free rotation, the mutual inductance change rate of the system is within 0.5%. At the maximum load placement density, the transmission efficiency of the system can reach 90.9%.

Keywords

Acknowledgement

This work was supported by Natural Science Foundation of Shanghai under Grant 23ZR1424800.

References

  1. Li, H., Zhang, B., Qin, S., Peng, J.: UAV-Clustering: Cluster head selection and update for UAV swarms searching with unknown target location. In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 483–488 (2022)
  2. Tian, Y., Li, Z., Liu, H., et al.: Wireless charging system for unmanned aerial vehicles using lightweight and compact receiver modules. J. Power Electron. 23(4), 712–723 (2023) https://doi.org/10.1007/s43236-022-00567-y
  3. Saied, M., Shraim, H., Francis C.: A review on recent development of multirotor UAV fault-tolerant control systems. IEEE Aerosp. Electron. Syst. Mag. 39(9), 146–180 (2024) https://doi.org/10.1109/MAES.2023.3327697
  4. Akter, R., Golam, M., Doan, V.-S., Lee, J.-M., Kim, D.-S.: IoMT-Net: Blockchain-Integrated unauthorized UAV localization using lightweight convolution neural network for internet of military things. IEEE Internet Things J. 10(8), 6634–6651 (2023) https://doi.org/10.1109/JIOT.2022.3176310
  5. Nonami, K.: Present state and future prospect of autonomous control technology for industrial drones. IEEJ Trans. Electr. Electron. Eng. 15(1), 6-11 (2020) https://doi.org/10.1002/tee.23041
  6. Arai, T., et al.: Time series analysis of separation for vegetation management around power lines using UAV photogrammetry. IEEJ Trans. Electr. Electron. Eng. 15(12), 1801-1810 (2020) https://doi.org/10.1002/tee.23254
  7. Das, S., et al.: UAV-thermal imaging: a robust technology to evaluate in-field crop water stress and yield variation of wheat genotypes. In: 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), pp. 138-141 (2020)
  8. Zan, W., Dong, C., Zhang, Z., Chen, X., Zhao, J., Hao, F.: Defect identification of power line insulators based on a Mobile ViT-Yolo deep learning algorithm. IEEJ Trans. Electr. Electron. Eng. 18(8), 1271-1279 (2023) https://doi.org/10.1002/tee.23825
  9. Jawad, A.-M., Jawad, H.-M., Nordin, R., Gharghan, S.-K., Abdullah, N.-F., Abu-Alshaeer, M.-J.: Wireless power transfer with magnetic resonator coupling and sleep/active strategy for a drone charging station in smart agriculture. IEEE Access. 7, 139839-139851 (2019) https://doi.org/10.1109/ACCESS.2019.2943120
  10. Wu, S., Cai, C., Chen, Y., Chai, W., Yang, S.: Research progress and development trend of multi-rotor unmanned aerial vehicles wireless charging technology. Trans. China Electrotech. Soc. 37(3), 555-565 (2022)
  11. Zhang, Y., Chen, S., Li, X., Tang, Y.: Design methodology of free-positioning nonoverlapping wireless charging for consumer electronics based on antiparallel windings. IEEE Trans. Industr. Electron. 69(1), 825-834 (2022) https://doi.org/10.1109/TIE.2020.3048322
  12. Satyavani, Y., Bobba, P.-B., Sandeep, V.: Design and development of wireless power transfer system for UAV. In: 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET), pp. 1-6 (2021)
  13. Cai, C., Wang, J., Zhang, F., Liu, X., Zhang, P., Zhou, Y.-G.: A multichannel wireless UAV charging system with compact receivers for improving transmission stability and capacity. IEEE Syst. J. 16(1), 997-1008 (2022) https://doi.org/10.1109/JSYST.2021.3085914
  14. Yan, Y.-X., Shi, W., Zhang, X.-B.: Design of UAV wireless power transmission system based on coupling coil structure optimization. EURASIP J. Wirel. Commun. Netw. 2020(1), 1-13 (2020) https://doi.org/10.1186/s13638-019-1618-7
  15. Zhai, X.-F., Wang, H.-X., Li, J., Huang, Z., Gao, R.-Z.: A wireless charging method with lightweight pick-up structure for UAVs. Electr. Eng. 103(6), 2847-2854 (2021) https://doi.org/10.1007/s00202-021-01267-9
  16. Wu, S., Cai, C., Jiang, L., Li, J., Yang, S.: Unmanned aerial vehicle wireless charging system with orthogonal magnetic structure and position correction aid device. IEEE Trans. Power Electron. 36(7), 7564-7575 (2021) https://doi.org/10.1109/TPEL.2020.3047384
  17. Cai, C., et al.: Development of a cross-type magnetic coupler for unmanned aerial vehicle IPT charging systems. IEEE Access. 8, 67974-67989 (2020) https://doi.org/10.1109/ACCESS.2020.2984361
  18. Li, Y., Sun, W.-J., Liu, J.-J., Liu, Y.-H., Yang, X., Li, Y.-L., Hu, J.-F., He, Z.-Y.: A New magnetic coupler with high rotational misalignment tolerance for unmanned aerial vehicles wireless charging. IEEE Trans. Power Electron. 37(11), 12986-12991 (2022) https://doi.org/10.1109/TPEL.2022.3184335
  19. Ma, X., Wu, S., Cai, C.. Qin, M., Yang, Z.: Research on wireless charging technology applied to UAVs. Electric Mach. Control. 23(8), 1-9 (2019)
  20. Cai, C.-W., Jiang, L.-Y., Chen, Y., Wu, S., Zhang, Z.-P.: Wireless charging system of unmanned aerial vehicle based on orthogonal magnetic structure and primary power control. Trans. China Electrotech. Soc. 36(17), 3675-3684 (2021)
  21. Bie, Z., Zhang, J.-T., Song, K., Wang, D.-A., Zhu, C.-B.: A free-rotation asymmetric magnetic coupling structure of UAV wireless charging platform with conformal pickup. IEEE Trans. Industr. Electron. 69(10), 10154-10161 (2022) https://doi.org/10.1109/TIE.2022.3165297