电工技术学报  2018, Vol. 33 Issue (18): 4199-4206    DOI: 10.19595/j.cnki.1000-6753.tces.171088
电工理论与新技术 |
基于遗传算法的SS型磁耦合WPT系统负载与互感识别方法
苏玉刚1, 2, 陈龙2, 吴学颖2, 卿晓东2, 唐春森2
1. 输配电装备及系统安全与新技术国家重点实验室(重庆大学) 重庆 400044;
2. 重庆大学自动化学院 重庆 400044
Load and Mutual Inductance Identification Method of SS-Type Magnetically-Coupled WPT System Based on Genetic Algorithm
Su Yugang1, 2, Chen Long2, Wu Xueying2, Qing Xiaodong2, Tang Chunsen2
1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China;
2. Automation College Chongqing University Chongqing 400044 China
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摘要 负载与互感参数的识别问题是提升磁耦合无线电能传输(WPT)系统性能的关键问题,基于遗传算法提出一种SS型磁耦合WPT系统的负载与互感识别方法,在考虑系统高次谐波影响的条件下建立系统稳态电路模型,进而得到系统电路参数及状态变量之间关系的数学描述,在此基础上引入遗传算法,将系统的参数识别问题转化为寻优问题,从而给出系统负载以及互感参数的识别方法。该识别方法无需增加额外电路以及相关控制,因此降低了电路复杂度并且减小了系统体积。仿真及实验结果均验证了该方法的可行性及有效性。
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苏玉刚
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吴学颖
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唐春森
关键词 无线电能传输磁耦合遗传算法互感识别负载识别    
Abstract:The identification of load and mutual inductance parameters is essential for improving power transfer capability and power transfer efficiency of the MC-WPT systems. In this paper, a load and mutual inductance identification method focusing on S/S-type WPT system is proposed. The steady-state circuit model is established by considering higher harmonics. Based on the circuit model, the relationship between the circuit parameters and the state variables is obtained. Further, the load and the mutual inductance identification is achieved by using Genetic Algorithm. In addition, the identification method can be achieved without extra circuits. As a result, the system cost and volume are decreased, and circuit complexity is reduced. Finally, the simulation and experimental results have verified the proposed method.
Key wordsWireless power transfer (WPT)    magnetically-coupled    genetic algorithm    load identi- fication    mutual inductance identification   
收稿日期: 2017-05-23      出版日期: 2018-09-26
PACS: TM724  
基金资助:国家自然科学基金(51477020、61573074)和重庆市国际科技合作基地项目(CSTC2015GJHZ40001)资助
通讯作者: 苏玉刚 男,1962年生,博士,教授,从事无线电能传输技术、电力电子技术、控制理论应用与自动化系统集成研究。E-mail: su7558@qq.com   
作者简介: 陈 龙 男,1989年生,博士研究生,研究方向为电力电子技术和无线电能传输技术。E-mail: 365852249@qq.com
引用本文:   
苏玉刚, 陈龙, 吴学颖, 卿晓东, 唐春森. 基于遗传算法的SS型磁耦合WPT系统负载与互感识别方法[J]. 电工技术学报, 2018, 33(18): 4199-4206. Su Yugang, Chen Long, Wu Xueying, Qing Xiaodong, Tang Chunsen. Load and Mutual Inductance Identification Method of SS-Type Magnetically-Coupled WPT System Based on Genetic Algorithm. Transactions of China Electrotechnical Society, 2018, 33(18): 4199-4206.
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