A Fast-Speed Phase Adaptation Algorithm Based on Power Feedback for Microwave Power Transmission

Doumin Zhou, Ke-feng Jin, Weiyang Zhou, Shuchen Cheng
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Abstract

The microwave power transmission system (MPT) is one of the most promising technologies in the long-range wireless power transfer field. However, the transmission efficiency limits the performance of MPT, which can be improved by adapting the phase of each transmitting antenna to increase the amount of constructive interference at the receiver. It is challenging to achieve the stability and fast convergence of the phase algorithm due to a large number of the transmitting antennas. In this paper, a rapid phase adaptation algorithm based on the golden section and bisection method (GSS_BI) is proposed. In the proposed method, the mathematical model between the phase of the transmitters and the power of the receiver is established, which plays a significant role in designing the phase adaptation algorithm. Then the GSS_BI algorithm reduces the searching range based on the mathematical model and employs the bisection method to find the optimal phases. The simulation is shown to validate the proposed GSS_BI algorithm. It is found that the proposed method can reduce 89% of the number of iterations that is used by the conventional method when the number of transmitting antennas is 46.
基于功率反馈的微波功率传输快速相位自适应算法
微波功率传输系统(MPT)是远程无线功率传输领域中最有前途的技术之一。然而,传输效率限制了MPT的性能,可以通过调整每个发射天线的相位来增加接收机的建设性干扰量来提高MPT的性能。由于发射天线数量多,相位算法的稳定性和快速收敛性难以实现。提出了一种基于黄金分割和二分法的快速相位自适应算法(GSS_BI)。在该方法中,建立了发射机相位与接收机功率之间的数学模型,该模型对相位自适应算法的设计具有重要意义。然后,GSS_BI算法在数学模型的基础上缩小搜索范围,采用二分法寻找最优相位;仿真结果验证了GSS_BI算法的有效性。研究发现,当发射天线数为46时,该方法的迭代次数比传统方法减少89%。
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