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首页> 外文期刊>IEEE transactions on industrial informatics >Automatic Impedance Matching Method With Adaptive Network Based Fuzzy Inference System for WPT
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Automatic Impedance Matching Method With Adaptive Network Based Fuzzy Inference System for WPT

机译：基于自适应网络的WPT自动阻抗匹配方法

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摘要

In a wireless power transfer system via coupled magnetic resonance, the power transfer efficiency (PTE) drastically decreases with the transfer distance and the changing load. To solve this problem, an automatic impedance matching system is usually embedded in an intelligent algorithm. However, the traditional algorithm cannot dynamically track the impedance due to its slow matching speed. In this paper, an automatic impedance matching method based on adaptive network based fuzzy inference system (ANFIS) is proposed to overcome this disadvantage. A simulation system is constructed, and results show that the efficiency of the proposed ANFIS method is 80.26% higher than that of the genetic algorithm. Moreover, an automatic impedance matching prototype is built and dynamic matching experiments are carried out, showing that the PTE is up to 84.76% when the distance increases from 4.5 to 50 cm. The simulation and experimental results are basically consistent, which prove the validity of the novel method.
机译：在通过耦合磁共振的无线电力传输系统中，电力传输效率（PTE）随着传递距离和变化负载而大大降低。为了解决这个问题，通常以智能算法嵌入自动阻抗匹配系统。但是，传统算法由于其匹配速度较慢而导致阻抗动态地跟踪阻抗。本文提出了一种基于自适应网络的模糊推理系统（ANFIS）的自动阻抗匹配方法来克服这个缺点。构建仿真系统，结果表明，所提出的ANFIS方法的效率高于遗传算法的80.26％。此外，建立自动阻抗匹配原型并进行动态匹配实验，显示当距离从4.5到50cm增加时，PTE高达84.76％。模拟和实验结果基本上是一致的，这证明了新方法的有效性。

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