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改进粒子群算法的自动阻抗匹配技术

杨晓博 李阳 肖朝霞 杨庆新 董维豪 王银焕

重庆大学学报2016,Vol.39Issue(6):41-48,8.
重庆大学学报2016,Vol.39Issue(6):41-48,8.DOI:10.11835/j.issn.1000-582X.2016.06.006

改进粒子群算法的自动阻抗匹配技术

Automatic impedance matching based on improved particle swarm optimization algorithm

杨晓博 1李阳 1肖朝霞 1杨庆新 1董维豪 1王银焕1

作者信息

  • 1. 天津工业大学 天津市电工电能新技术重点实验室,天津 300387
  • 折叠

摘要

Abstract

As the wireless power transmission distance changes,resonance coil offsets,load changes and other aspects of the system’s input impedance change,the input impedance will not match with the RF (radio frequency)source impedance,and the transmission efficiency will drop significantly.Adding an impedance matching network between the RF source and the transmit coil can improve the transmission efficiency of the wireless power.In order to improve the accuracy and the speed of impedance matching,an improved particle swarm optimization algorithm was proposed in this paper.By comparing the improved algorithm with the traditional algorithm,it proved the superiority of the improved algorithm in matching precision and speed.Finally,the algorithm was embedded into the automatic impedance matching system <br> and the transmission efficiency of the wireless power transfer system was improved.Meanwhile,the effectiveness of the proposed algorithm was also demonstrated.

关键词

阻抗匹配/磁耦合/谐振式/无线电能传输/改进的粒子群

Key words

impedance matching/coupled magnetic/resonance/wireless power transfer/improved particle swarm optimization

分类

信息技术与安全科学

引用本文复制引用

杨晓博,李阳,肖朝霞,杨庆新,董维豪,王银焕..改进粒子群算法的自动阻抗匹配技术[J].重庆大学学报,2016,39(6):41-48,8.

基金项目

国家自然科学基金(51577133、51477117、51307007、51307120);天津市应用基础及前沿技术研究计划(自然科学基金)联合资助项目(15JCYBJC46700);天津市科技支撑计划资助项目(15ZCZDGX00980)。Supported by the National Natural Science Foundation of China(51577133,51477117,51307007,51307120), Tianjin the Foundation of the Application and Research in Cutting-edge Technologies Program(Natural Science Fund)Jointly Funded Projects in General(15JCYBJC46700)and Tianjin Science and Technology Support Plan Projects(15ZCZDGX00980). ()

重庆大学学报

OA北大核心CSCDCSTPCD

1000-582X

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