- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | DONG Liang, SU Yuming, FAN Zhixun, SU Zhouhao. Design and Optimization of Coupling Mechanism for Wireless Energy Transmission of Hovering Unmanned Aerial Vehicles[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250261
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To address the problems of limited endurance of unmanned aerial vehicles and unstable power transmission caused by positional offset during hovering charging, a T-shaped asymmetric magnetic coupling mechanism based on demagnetizing field theory was proposed. Firstly, the magnetic field concentration ability was enhanced, and the demagnetization effect was suppressed by optimizing the magnetic circuit design, thereby improving the coupling coefficient; the influences of key parameters such as the upper side length, lower side length, and middle magnetic column height of the launch mechanism on the coupling performance were analyzed. Secondly, the optimal structural dimension combination was determined using a parametric sweep method. Finally, an experimental prototype was built to conduct performance testing. The research results indicate that the mutual inductance fluctuation rate of the structure is only 2.3% within a rotational offset range of ±20° and 4.1% within an axial offset range of ±20 mm, exhibiting excellent anti-offset characteristics; the mutual inductance fluctuation rate under rotational offset is 2.4%, and the output power fluctuation rate within an axial offset range of ±20 mm is 4.2%, which are basically consistent with the simulation results; under varying load conditions, the system can achieve constant current output, and the designed coupling mechanism has good robustness and stability under dynamic working conditions. The proposed T-shaped coupling mechanism has advantages such as compact structure, strong anti-offset ability, and stable output and is suitable for unmanned aerial vehicle application scenarios requiring continuous power supply, such as relay communication and power inspection.
| [1] |
Huang H L, Savkin A V. A method of optimized deployment of charging stations for drone delivery[J]. IEEE Transactions on Transportation Electrification, 2020, 6(2): 510-518. doi: 10.1109/TTE.2020.2988149
|
| [2] |
Ahmadian N, Lim G J, Torabbeigi M, et al. Smart border patrol using drones and wireless charging system under budget limitation[J]. Computers & Industrial Engineering, 2022, 164: 107891. doi: 10.1016/j.cie.2021.107891
|
| [3] |
Arteaga J M, Aldhaher S, Kkelis G, et al. Dynamic capabilities of multi-MHz inductive power transfer systems demonstrated with batteryless drones[J]. IEEE Transactions on Power Electronics, 2018, 34(6): 5093-5104. doi: 10.1109/tpel.2018.2871188
|
| [4] |
Zhang Y M, Li X, Chen S X, et al. Soft switching for strongly coupled wireless power transfer system with 90° dual-side phase shift[J]. IEEE Transactions on Industrial Electronics, 2022, 69(1): 282-292. doi: 10.1109/TIE.2021.3055158
|
| [5] |
Rong C C, He X R, Wu Y T, et al. Optimization design of resonance coils with high misalignment tolerance for drone wireless charging based on genetic algorithm[J]. IEEE Transactions on Industry Applications, 2022, 58(1): 1242-1253. doi: 10.1109/TIA.2021.3057574
|
| [6] |
ZHANG Z, PANG H L. Wireless Power Transfer: Principles and Applications [M]. Hoboken: Wiley-IEEE Press, 2022: 327-360.
|
| [7] |
Hu J H, Zhao J K, Cui C. A wide charging range wireless power transfer control system with harmonic current to estimate the coupling coefficient[J]. IEEE Transactions on Power Electronics, 2021, 36(5): 5082-5094. doi: 10.1109/TPEL.2020.3032659
|
| [8] |
Liu Y Y, Feng H W. Maximum efficiency tracking control method for WPT system based on dynamic coupling coefficient identification and impedance matching network[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019, 8(4): 3633-3643. doi: 10.1109/jestpe.2019.2935219
|
| [9] |
Gu Y, Wang J, Liang Z Y, et al. Mutual-inductance-dynamic-predicted constant current control of LCC-P compensation network for drone wireless in-flight charging[J]. IEEE Transactions on Industrial Electronics, 2022, 69(12): 12710-12719. doi: 10.1109/TIE.2022.3142427
|
| [10] |
ALDHAHER S, MITCHESON P D, ARTEAGA J M, et al. Light-weight wireless power transfer for mid-air charging of drones[C]//2017 11th European Conference on Antennas and Propagation (EUCAP). Paris: IEEE, 2017: 336-340.
|
| [11] |
CAMPI T, CRUCIANI S, MARADEI F, et al. Wireless charging system integrated in a small unmanned aerial vehicle (UAV) with high tolerance to planar coil misalignment[C]//2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Sapporo/APEMC). Sapporo: IEEE, 2019: 601-604.
|
| [12] |
郑萃翀, 肖文勋, 唐哲人. 基于宇称时间对称原理的无人机无线充电技术[J]. 中山大学学报(自然科学版)(中英文), 2022, 61(6): 151-157. doi: 10.13471/j.cnki.acta.snus.2022B021
Zheng Cuichong, Xiao Wenxun, Tang Zheren. Wireless charging technology for UAV based on parity-time symmetry[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2022, 61(6): 151-157. doi: 10.13471/j.cnki.acta.snus.2022B021
|
| [13] |
陈恺铂. 基于旋转坐标系的无人机悬停无线充电系统互感估计研究[D]. 天津: 天津大学, 2024.
|
| [14] |
Wang H Z, Li G Q, Wang G B, et al. Deep learning based ensemble approach for probabilistic wind power forecasting[J]. Applied Energy, 2017, 188: 56-70. doi: 10.1016/j.apenergy.2016.11.111
|
| [15] |
Han W, Chau K T, Jiang C Q, et al. Design and analysis of quasi-omnidirectional dynamic wireless power transfer for fly-and-charge[J]. IEEE Transactions on Magnetics, 2019, 55(7): 8001709.
|
| [16] |
CAMPI T, CRUCIANI S, FELIZIANI M, et al. High efficiency and lightweight wireless charging system for drone batteries[C]//2017 AEIT International Annual Conference. Cagliari: IEEE, 2017: 1-6.
|
| [17] |
Rohan A, Rabah M, Talha M, et al. Development of intelligent drone battery charging system based on wireless power transmission using hill climbing algorithm[J]. Applied System Innovation, 2018, 1(4): 44. doi: 10.3390/asi1040044
|
| [18] |
辛本钊, 马秀娟, 蔡春伟, 等. 基于空间旋转磁场的全方向无人机无线电能传输系统[J]. 中国电机工程学报, 2023, 43(12): 4769-4779. doi: 10.13334/j.0258-8013.pcsee.220002
Xin Benzhao, Ma Xiujuan, Cai Chunwei, et al. Omnidirectional wireless power transfer system for unmanned aerial vehicle based on spatial rotating magnetic field[J]. Proceedings of the CSEE, 2023, 43(12): 4769-4779. doi: 10.13334/j.0258-8013.pcsee.220002
|
| [19] |
赵航, 贾静, 杨哲, 等. 平台式无人机强耦合无线电能传输方法[J]. 南方能源建设, 2025, 12(2): 158-168. doi: 10.16516/j.ceec.2024-281
Zhao Hang, Jia Jing, Yang Zhe, et al. Strongly coupled platform wireless power transmission method for UAV[J]. Southern Energy Construction, 2025, 12(2): 158-168. doi: 10.16516/j.ceec.2024-281
|
| [20] |
Yao Y S, Wang Y J, Liu X S, et al. A novel unsymmetrical coupling structure based on concentrated magnetic flux for high-misalignment IPT applications[J]. IEEE Transactions on Power Electronics, 2018, 34(4): 3110-3123.
|
| [21] |
李阳, 寇苏雅, 安张磊, 等. 移动中继双向无线充电系统拓扑结构设计[J]. 电源学报, 2023, 21(6): 15-23. doi: 10.13234/j.issn.2095-2805.2023.6.15
Li Yang, Kou Suya, An Zhanglei, et al. Topological structure design of mobile relay bidirectional wireless charging system[J]. Journal of Power Supply, 2023, 21(6): 15-23. doi: 10.13234/j.issn.2095-2805.2023.6.15
|
| [22] |
Yuan S, Huang Y, Zhou J F, et al. Magnetic field energy harvesting under overhead power lines[J]. IEEE Transactions on Power Electronics, 2015, 30(11): 6191-6202. doi: 10.1109/TPEL.2015.2436702
|
| [23] |
Luo Z C, Wei X Z. Analysis of square and circular planar spiral coils in wireless power transfer system for electric vehicles[J]. IEEE Transactions on Industrial Electronics, 2018, 65(1): 331-341. doi: 10.1109/TIE.2017.2723867
|
| [24] |
WU W Z, CHEN K J, QIAO Y, et al. Probabilistic short-term wind power forecasting based on deep neural networks[C]//2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Beijing: IEEE, 2016: 1-8.
|
| [25] |
Yang H Y, Li Y, Liu Z W, et al. An accurate power model and high power density design method of free-standing magnetic field energy harvesters with H-shaped core[J]. IEEE Transactions on Industrial Electronics, 2023, 70(8): 7965-7975. doi: 10.1109/TIE.2022.3225854
|
| [26] |
杨旭. 面向固定翼无人机无线充电系统耦合机构抗偏移设计[D]. 哈尔滨: 哈尔滨理工大学, 2022.
|
| [27] |
武帅, 陈星维, 孟祥尧, 等. 具有强抗偏移及轻量化特性的电场耦合式无人机无线电能传输系统[J]. 中国电机工程学报, 2023, 43(6): 2404-2413. doi: 10.13334/j.0258-8013.pcsee.213084
Wu Shuai, Chen Xingwei, Meng Xiangyao, et al. Electric-field coupled wireless power transfer system with misalignment-tolerance and light-weight characteristics for unmanned aerial vehicle applications[J]. Proceedings of the CSEE, 2023, 43(6): 2404-2413. doi: 10.13334/j.0258-8013.pcsee.213084
|
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