【作者】 刘维娜； 杨庆新； 李阳；

【Author】 LIU Wei-na;YANG Qing-xin;LI Yang;Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy,Tianjin Polytechnic University;

【机构】 天津工业大学电工电能新技术天津市重点实验室；

【摘要】 由WPT(Wireless Power Transfer)基本结构分析可知,谐振系统的频率在过耦合状态时会发生分裂。针对这种由频率分裂引起的传输功率下降问题,文中采用无线电能传输系统频率跟踪控制方法,设定了负载功率下降阂值,对遗传算法早熟程度判定方法进行了改进,并根据阂值采用该算法对系统信号源频率进行调节,提高了系统谐振频率的发现速度,使系统快速发现负载功率最大值,提高输出功率值。通过Matlab进行拟合状态函数的频率跟踪仿真验证了该算法可行性及有效性。最后搭建了试验系统,将改进的遗传算法植入DSP,反馈信号通过Zigbee从负载端发送到DSP端,试验证明基于改进的遗传算法的频率跟踪控制方法能很好地找到系统最佳频率,从而提高了系统输出功率。更多还原

【Abstract】 The frequency of the resonant systemat overcoupled state splits based on MCI-WPT basic structure analysis,which leading to transmission powerdecline.With this,this paper puts forward the idea that frequencycontrolof magnetic resonance wireless power transmission system.This article setpower decrease threshold.Then it improves genetic algorithm premature judgement method,with which the system adjust frequency signal source frequency based on thepower decrease threshold.Itimproved found speed of the system resonance frequency and the maximumload power,so as to enhance output power value.At last,it Set up the experimental system,embed the improved genetic algorithm in DSP.Feedback signals weresent to the DSP endfrom the load by Zigbee.Experimental results show that frequency tracking control method based on improved genetic algorithm can find a good system optimal frequency,so as to improve the output power system.更多还原