Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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基于粒子群磁场编辑算法的无线电能漏磁研究

来源:电工电气发布时间:2025-01-24 10:24 浏览次数:60

基于粒子群磁场编辑算法的无线电能漏磁研究

张学毅,张赛,张晨曦,杨育鑫,孟雨薇
(湖南工业大学 电气与信息工程学院,湖南 株洲 412007)
 
    摘 要:在无线电能传输系统中,维持高效率和高功率的同时,会导致系统的漏磁大幅升高。提出了一种应用于无人机无线电能传输系统的多线圈发射系统,该系统在保证传输效率和输出功率的同时减小目标观测面上的漏磁大小。基于一种计算方形线圈磁场密度的方法,提出了磁场编辑技术,运用该技术可以改变目标位置的磁场强度;结合磁场编辑算法与改进型粒子群算法,使控制部分能够较大维度去控制该系统;提出了多发射线圈阵列的无人机无线充电系统,通过仿真分析可知,当系统输出功率恒定在200 W 时,该系统使目标区域最大泄漏维持在 5μT 且传输效率高达96.7%。
    关键词: 无线电能传输;粒子群算法;磁场编辑
    中图分类号:TM724     文献标识码:B     文章编号:1007-3175(2025)01-0001-08
 
Research on Wireless Power Megnetic Flux Leakage Based on Particle
Swarm Magnetic Field Editing Algorithm
 
ZHANG Xue-yi, ZHANG Sai, ZHANG Chen-xi, YANG Yu-xin, MENG Yu-wei
(College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China)
 
    Abstract: Maintaining high efficiency and power in a wireless power transfer system can lead to a significant increase in the magnetic flux leakage of the system. For this reason the paper proposes a multi-coil transmitting system applied to unmanned aerial vehicle (UAV) wireless power transfer system, which reduces the magnitude of magnetic flux leakage on the target observation surface while maintaining the transmission efficiency and output power. Firstly, based on a method for calculating the magnetic field density of a square coil and proposes a magnetic field editing technique, which can be utilized to change the magnetic field strength at the target location. Secondly, the magnetic field editing algorithm is combined with an improved particle swarm algorithm to enable the control section to control the system in a larger dimension. Finally, a wireless charging system for UAVs with multiple transmitting coil arrays is proposed, and the simulation analysis shows that the proposed system maintains the maximum leakage in the target area at 5 μT and the transmission efficiency is as high as 96.7% when the output power of the system is kept at a constant level of 200 W.
    Key words: wireless power transfer; particle swarm algorithm; magnetic field editing
 
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