吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (2): 174-180.

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基于改进型 PSO 的磁共振无线电能传输系统优化

姜建国, 喻明斐, 佟麟阁   

  1. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318
  • 收稿日期:2021-03-04 出版日期:2022-06-11 发布日期:2022-06-11
  • 作者简介:姜建国(1966— ), 男, 新疆奇台人, 东北石油大学教授, 博士, 主要从事智能电网与电气自动化理论及应用研究, (Tel)86-13734583588(E-mail)932452580@ qq. com.

Optimization of Magnetic Resonance Radio Power Transmission System Based on Improved PSO

JIANG Jianguo, YU Mingfei, TONG Linge   

  1. School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China
  • Received:2021-03-04 Online:2022-06-11 Published:2022-06-11

摘要:

为提高磁共振无线电能的传输( MCR-WPT: Magnetic Coupling Resonant Wireless Power Transfer) 效率, 基于现阶段国内外在中距离对电能的传输系统特性与效率方面取得的研究成果, 通过对磁共振无线电能传输 的电路原理进行较为详细的推导与分析, 提出一种改进型的粒子群寻优(PSO: Particle Swarm Optimization)算法 对系统的阻抗匹配进行优化, 经实验验证, 该算法可提高磁共振无线电的传输效率, 相比其他算法有一定 的优越性。

关键词: 无线电能传输; , 磁共振; , S-S补偿模型; , 传输效率; , 阻抗匹配

Abstract: MCR-WPT( Magnetic Coupling Resonant Wireless Power Transfer) is a very important branch of wireless transmission technology. In recent years, its excellent power transmission efficiency in medium distance has attracted great attention at home and abroad, and has made a lot of research results in system characteristics and transmission efficiency. The principle of magnetic resonance radio power transmission is derived and analyzed in detail, and an improved PSO( Particle Swarm Optimization) algorithm is used to optimize the impedance matching of the system, and the superiority of this algorithm is verified by experiments.

Key words: wireless power transfer; , magnetic resonant; , S-Scompensation model; , transmission efficiency;  impedance matching

中图分类号: 

  • TM722