Research on an Automatic Impedance Matching T-Network Based on Q-Based Design Method

被引：0
|
作者：
Fan X. [1 ]
Su B. [1 ]
Tang F. [1 ]
Zhang X. [1 ]
机构：
[1] Department of Electrical Engineering & Automation, Guilin University of Electronic and Technology, Guilin
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 09期
关键词：
Adjustable devices; Automatic impedance matching; Q-based design method; Solution space; T-network;
D O I：
10.19595/j.cnki.1000-6753.tces.210603
中图分类号：
学科分类号：
摘要：
Automatic impedance matching technology can improve the transmission efficiency and stability of the system. At present, the automatic impedance matching technology often uses intelligent algorithm to solve the problem, but the traditional intelligent algorithm is complex in modeling, usually spend a lot of time on iteration and calculation. To solve this problem, an automatic impedance matching method based on Q-based design method is proposed in this paper, and the corresponding T-network is designed. In this method, Q0 can be obtained from the plane, which crosses the solution space of the T-network's device, and then the calculation of matching network parameters can be completed by using the Q-based design method. Based on the established Matlab analysis model, the simulation results show that the matching performance of this method is related to the value of the load resistance. A prototype of the automatic impedance matching network system is made for verification. The simulation and experimental results show that the impedance matching effect of this method is better, the calculation is smaller, the matching speed is greatly improved compared with the genetic algorithm, and has a certain practical application value. © 2022, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：2275 / 2283
页数：8
相关论文
共 18 条
  • [1] Li Shufan, Wang Lifang, Guo Yanjie, Et al., Optimization of design method of T-type impedance matching network for wireless charging system based on rectified load compensation, Transactions of China Electrotechnical Society, 32, 24, pp. 9-16, (2017)
  • [2] Zhao Yuming, Wang Zhihui, Su Yugang, Et al., Load adaptive technology of constant voltage electric-field coupled power transfer system based on T-CLC resonant network, Transactions of China Electrotechnical Society, 35, 1, pp. 106-114, (2020)
  • [3] Li Zhuo, Hao Kaizi, Wang Xin, Et al., Design of dual-band wide-angle RF/IR beam combiner based on impedance matching, IET Microwaves Antennas & Propagation, 14, 1, pp. 7-14, (2020)
  • [4] Wong Y C, Mahmod N M, Radzi S A, Et al., Adaptive boundary impedance matching network algorithm for multi frequency standards RF front-end, AEU-International Journal of Electronics and Communications, 70, 10, pp. 1449-1456, (2016)
  • [5] Tan Jianwen, Liao Ruijin, Deng Sijian, Et al., Broadband impedance matching for high intensity focused ultrasound transducer, Transactions of China Electrotechnical Society, 29, 11, pp. 141-146, (2014)
  • [6] Zhao Nengtong, Yang Xin, Chen Yukai, Et al., The impedance characteristics of high power electroacoustic transducer considering the inhomogeneity of giant magnetostrictive material, Transactions of China Electrotechnical Society, 36, 10, pp. 1999-2006, (2021)
  • [7] Tu Chunming, Gao Jiayuan, Li Qing, Et al., Research on adaptability of grid-connected inverter with complex coefficient-filter structure phase locked loop to weak grid, Transactions of China Electrotechnical Society, 35, 12, pp. 2632-2642, (2020)
  • [8] Tu Chunming, Gao Jiayuan, Zhao Jinbin, Et al., Analysis and design of grid-connected inverter impedance remodeling with fixed stability margin in weak grid, Transactions of China Electrotechnical Society, 35, 6, pp. 1327-1335, (2020)
  • [9] Xiong Zhiting, Tan Yanghong, Yi Rufang, Et al., RF impedance automatic-matching with multilevel genetic arithmetic, Computer Engineering and Applications, 49, 23, pp. 261-265, (2013)
  • [10] Yang Xiaobo, Li Yang, Xiao Zhaoxia, Et al., Automatic impedance matching based on improved particle swarm optimization algorithm, Journal of Chongqing University, 39, 6, pp. 41-48, (2016)
12