基于模糊神经网络的无线感应电源频率控制器

Frequency controllor for wireless power based on fuzzy neural network

建立了基于模糊神经网络的最佳耦合频率控制系统的模型,使得转动轴状态变化时,无线感应电源的频率被控为谐振频率,从而保证能量传输过程处于最佳耦合状态。设计了一套无线感应电源的实验装置,包括可控频率的电磁振荡发生器,能量接收天线和轴上AC／DC装置。

Abstract A model of optimal coupling frequency controlling system is established based on fuzzy neural network, so the frequency of wireless power could be controlled as same as the changed optical frequency when it changes under the effects of active state of rotating shaft. Energy transmission process is under optimal coupling state. A wireless induction power is designed including electromagnetic oscillation with controlled frequency, energy receiver and AC/DC equipment rotating with shafts.