节点文献
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
【摘要】 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】 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.
【关键词】 扭矩传感器;
无线感应电源;
频率控制;
模糊神经网络;
【Key words】 torque sensor wireless induction power frequency control fuzzy neural network;
【Key words】 torque sensor wireless induction power frequency control fuzzy neural network;
【基金】 河北省自然科学基金资助项目(F2005000385)
- 【文献出处】 仪器仪表学报 ,Chinese Journal of Scientific Instrument , 编辑部邮箱 ,2006年S3期
- 【分类号】TM924;TM571
- 【被引频次】1
- 【下载频次】95