摘要
针对现有隧道照明存在的大量电能浪费,提出一种基于模糊神经网络的隧道照明控制系统实现节能。将车速、车流量和洞外亮度做为系统的输入,照明回路调光数值做为系统的输出。系统主要用于自适应控制,神经网络采用了BP网络。文章介绍了系统的功能和实现的关键技术。
In the illumination of tunnels which waste a lot of electric energy now,a tunnel illumination control system based on fuzzy neural network was adopted to save energy. In this control system,the vehicle speed,vehicle flowrate and tunnel ambient exterior are the input ,adjustment for illumination is the output.The control system applied to self-adaptive control,BP neural network was adopted. The paper presents the capability and the key technology of system.
出处
《微计算机信息》
2009年第7期13-14,9,共3页
Control & Automation
关键词
隧道照明
自适应控制
模糊神经网络
tunnel illumination
serf-adaptive control
fuzzy neural network
