现代电子技术2025，Vol.48Issue(6)：85-90,6.DOI:10.16652/j.issn.1004-373x.2025.06.014
基于神经网络的无线电能传输自抗扰控制
WPT active disturbance rejection control based on neural network
宋贝多 1程志江 1刘尊祝 1杨涵棣1
作者信息
- 1. 新疆大学 可再生能源发电与并网控制教育部工程研究中心,新疆 乌鲁木齐 830046
- 折叠
摘要
Abstract
In order to realize accurate and stable output of voltage based wireless power transfer(WPT)system and solve the problem of complex parameter tuning of active disturbance rejection control(ADRC),a ADRC controlled WPT system based on radial basis function(RBF)neural network optimization is proposed.A two-sided LCC-type WPT system model is established,and Hammerstein model is used to simplify the system analysis and controller design.The online learning ability of RBF neural network is used to dynamically optimize the adjustable parameters in the ADRC controller to realize the accurate control of the output voltage of the system.A radio energy transmission device based on RBF-ADRC is built,and the control effect of RBF-ADRC and ADRC controller is compared.The experimental results show that,in comparison with the traditional ADRC controller,the RBF-ADRC controller not only solves the problem of difficult parameter adjustment,but also significantly improves the response speed and control performance of the system,verifies the effectiveness of the RBF-ADRC controller,and realizes stable output without overshoot and shorter transition time.关键词
无线电能传输系统/自抗扰控制/RBF神经网络/双边LCC型拓扑结构/恒压输出/径向基函数Key words
wireless power transfer system/active disturbance rejection control/RBF neural network/dual LCC topology structure/constant voltage output/radial basis function分类
电子信息工程引用本文复制引用
宋贝多,程志江,刘尊祝,杨涵棣..基于神经网络的无线电能传输自抗扰控制[J].现代电子技术,2025,48(6):85-90,6.
