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Nonlinear Parity-Time-Symmetric Model for Constant Efficiency Wireless Power Transfer: Application to a Drone-in-Flight Wireless Charging Platform
IEEE Transactions on Industrial Electronics ( IF 7.7 ) Pub Date : 2019-05-01 , DOI: 10.1109/tie.2018.2864515
Jiali Zhou , Bo Zhang , Wenxun Xiao , Dongyuan Qiu , Yanfeng Chen

A major challenge for practical wireless power transfer (WPT) applications is to attain stable power transfer with high and constant transfer efficiency under a dynamic change of coupling condition. In order to address the issue, this paper proposes a novel nonlinear parity-time (PT) symmetric model, wherein the nonlinear saturable gain is provided by a self-oscillating controlled inverter. In this paper, the transfer performance and stability criterion of the nonlinear PT-based WPT system are analyzed based on the coupled-mode theory. The theoretical analysis shows that the proposed system automatically achieves constant output power with constant transfer efficiency against the variation of coupling coefficient. Moreover, based on the gain saturation mechanism, the control strategy for the inverter needs to detect only the current in the transmitter, which eliminates auxiliary circuits of wireless communication for feedback control from the receiver. As a case study of dynamic charging, a drone-in-flight wireless charging platform is improved by applying the nonlinear PT-symmetric model. Experimental results show that when the flying drone hovers in a confined three-dimensional volume of space above the WPT platform, a stable output power is maintained with approximately constant transfer efficiency of 93.6%.

中文翻译:

用于恒定效率无线电力传输的非线性奇偶时间对称模型:在无人机无线充电平台上的应用

实际无线功率传输 (WPT) 应用的一个主要挑战是在耦合条件的动态变化下以高且恒定的传输效率实现稳定的功率传输。为了解决这个问题,本文提出了一种新的非线性奇偶校验时间 (PT) 对称模型,其中非线性可饱和增益由自振荡受控逆变器提供。本文基于耦合模式理论分析了非线性基于PT的WPT系统的传递性能和稳定性判据。理论分析表明,所提出的系统自动实现恒定输出功率和恒定传输效率,对抗耦合系数的变化。此外,基于增益饱和机制,逆变器的控制策略只需要检测发射器中的电流,从而消除了用于接收器反馈控制的无线通信辅助电路。作为动态充电的案例研究,通过应用非线性 PT 对称模型改进了无人机飞行无线充电平台。实验结果表明,当飞行无人机在 WPT 平台上方的有限空间三维空间中盘旋时,保持稳定的输出功率,传输效率约为 93.6%。
更新日期:2019-05-01
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