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Parameter Optimization of Wireless Power Transfer System Based on PSO Algorithm for Unmanned Platforms
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Shuguang WEI  Member, CPSS, Feifan XU, Jiaqi LI, Dong YUAN
Journal of Power Supply | 2026, 24(5) : 275 - 285
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Journal of Power Supply | 2026, 24(5): 275-285
• Wireless Power Transfer •
Parameter Optimization of Wireless Power Transfer System Based on PSO Algorithm for Unmanned Platforms
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Shuguang WEI  Member, CPSS, Feifan XU, Jiaqi LI, Dong YUAN
Affiliations
  • Army Arms University of PLA, Beijing 100072, China
Published: 2026-05-30 doi: 10.13234/j.issn.2095-2805.2026.5.275
Outline
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The unmanned platforms have the advantages of small size, low cost and no man-carrying operation, and are widely used in various military missions. At present, the unmanned platforms mainly use electric energy as power source, and their demand for reliable power transmission methods is increasing. In the cases where personnel cannot participate, the charging interfaces are not suitable, and the charging process is low in efficiency, wired charging or battery replacement has drawbacks, which cannot meet the demand for electric power transmission of the unmanned platforms. The system structure is designed to meet the requirements of unmanned platforms wireless power transfer, and based on this structure, a parameter optimization method based on particle swarm optimization (PSO) algorithm is proposed. By analyzing the structure and characteristics of the compensation circuit, coupling coil and energy storage device of the unmanned platform wireless power transfer system, the optimization objectives of the mathematical model of the system parameter optimization and the constraints of power, efficiency and current are proposed, and the algorithm flow of the parameter optimization method of the unmanned platform wireless power transfer system based on PSO algorithm is designed. The results show that the proposed optimization method based on PSO algorithm can reduce the fluctuation amplitude of the output voltage, power and efficiency with the load resistance and coupling coefficient change, and improve the robustness and environmental adaptability of the unmanned platform wireless power transfer system.

Wireless power transfer  /  LCC/S compensation topology  /  parameter optimization method  /  particle swarm optimization (PSO) algorithm
魏曙光中国电源学会会员, 许非凡, 李嘉麒, 袁东. 基于PSO算法的无人平台无线电能传输系统参数优化. 电源学报, 2026 , 24 (5) : 275 -285 . DOI: 10.13234/j.issn.2095-2805.2026.5.275
Shuguang WEI, Feifan XU, Jiaqi LI, Dong YUAN. Parameter Optimization of Wireless Power Transfer System Based on PSO Algorithm for Unmanned Platforms[J]. Journal of Power Supply, 2026 , 24 (5) : 275 -285 . DOI: 10.13234/j.issn.2095-2805.2026.5.275
Year 2026 volume 24 Issue 5
32
4
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.5.275
  • Receive Date:2024-03-11
  • Online Date:2026-10-29
  • Published:2026-05-30
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History
  • Received:2024-03-11
  • Revised:2024-04-17
  • Accepted:2024-05-02
Affiliations
    Army Arms University of PLA, Beijing 100072, China
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表12种不同金属材料的力学参数
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Family
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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