摘要
提出一种基于WEB嵌入式自适应智能控制系统设计方案,提供了各组成模块软硬件的详细设计与具体实现;系统采用主流的S3C2410作为处理器,通过I2C总线实现各硬部件的连接;开发的嵌入式WEB服务器模块,使得用户能够对温度传感器读数进行互联网远程监测和多路数字、模拟量输出智能控制;并且神经网络模块能够自适应地学习和控制温度读数与制冷设备输出数之间的关系。实验结果显示改进后的Hopfield算法的收敛性和记忆性得到了提高,并使该系统具有较大的应用价值。
Puts forward a design plan of adaptive intelligent control system based on embedded web, and provides the detailed design and implemention of every module of the system. System chose the popular S3C2410 as the processor, and I^2C bus is used to connect all the hardware component; we develope the embedded web server, so that consumers can remotely learn the reading data of the temperature sensors and intelligently control the multi output of the analog and digital signals; further more the neural network module can adaptively learn and control the relation between the reading data of the temperature sensors and the number to operate refrigeration plant. The experimental result shows that the reforming algorithm of Hopfield net has a better performance in convergence and memory, and the design plan has relatively great application value.
出处
《计算机测量与控制》
CSCD
北大核心
2010年第4期820-823,共4页
Computer Measurement &Control
基金
江西省科技厅项目(2007BGL3102)
江西省南昌市科技局资助项目(洪财企【2008】68号
产学研计划-3)
江西省南昌市科技局资助项目(洪科发计字2006(125))
