摘要
为水产养殖提供水质监测数据的无线传感器网络寿命受限于单节点工作时长。提出一种基于模糊聚类理论的太阳能最大功率点跟踪(MPPT)方法,设计的结合太阳能电池和锂电池的环保型供电智能控制系统,可根据供电能量变化自动选择供电电源,输出多路稳定电压,并能提供锂电池充电管理,延长了网络的最大工作时间。
As collecting water quality monitoring data of aquaculture in wireless sensor networks ( WSNs), working hours of the single node determine the life of the entire network. A theory based on fuzzy clustering of solar maximum power point tracking method is presented, and environment-friendly multi-channel power intelligent control system combined with solar power and Lithium batteries is designed. The innovation of the system is able to selects the access to power supply automatically, according to changing circumstances in the power supply, and can export multi-path stable voltage. It provides Li-ion battery charge management that greatly extends the maximum work time of WSNs.
出处
《传感器与微系统》
CSCD
北大核心
2010年第11期33-35,39,共4页
Transducer and Microsystem Technologies
基金
国家"863"计划资助项目(2007AA10Z238)
关键词
智能控制
最大功率点跟踪
无线传感器网络
能量管理
intelligent control
maximum power point tracking (MPPT)
wireless sensor networks (WSNs)
power management