摘要
针对传统太阳能路灯控制器控制精度不高、抗干扰能力差和成本昂贵等问题,研制了一种智能型太阳能路灯控制器;以DSP芯片为控制核心,结合基于模糊神经网络的MPPT最大功率跟踪算法思想,采用Cuk升降压电路控制实现最大效率地对蓄电池充电,最大输出功率60W;近端/远程上位机监控采用Labview软件编写,实现了近端/远程的太阳能路灯监控,定时记录路灯的监控数据;仿真和实验结果证明该控制器能量转换效率高,实用性强,对进一步推广绿色能源具有重要的实际意义。
In traditional solar street lamps controller exist control precision, anti--jamming ability is poor and expensive cost, etc. This paper developed a kind of intelligent solar street lamps controller. This intelligent solar controller by DSP chip as control core, combining based on fuzzy neural networks MPPT maximum power tracking algorithm, the thought Cuk lifting voltage circuit control to achieve maximum efficiency battery, maximum output power is 60W. Local / remote PC control using Labview software development, to achieve the proximal / remote monitoring of solar lights and record street lamps monitoring data at regular time. By simulation and experiment proved that the controller＇s energy conversion efficiency is high, having automatic strong practicability. It has important practical significance for the future promotion of green energy.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第3期714-716,共3页
Computer Measurement &Control
基金
辽宁省教育厅基金项目(L2010172)
辽宁省重点实验室项目(LS2010078)
大学生创新性实验计划项目(101014716)
