基于神经网络的锅炉风煤比控制系统和通讯设计  

Design the Ratio of Air and Coal of Boiler Control System and Communication Based on Neural Network

作　　者：曹庆才 高德欣[1] 王振市 栾松鹏[1] 

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266042

出　　处：《自动化技术与应用》2015年第7期17-21,共5页Techniques of Automation and Applications

基　　金：山东省自然科学基金项目(ZR2011FQ006);青岛市科技发展计划项目(12-1-4-3-(17)-jch)

摘　　要：针对锅炉燃烧控制中风煤比调节困难的情况,首先选取不同工况下效率最高点时风煤比数据,通过Matlab神经网络建立了给煤和鼓风的关系模型,然后利用Matlab引擎技术,完成了.NET对Matlab神经网络工具箱的调用,实现了神经网络模型和C#的通讯,生成最优风煤比燃烧控制曲线,最后经测试表明,该神经网络模型准确可靠,通信方法灵活。This paper firstly selects the maximum efficiency ratio of air and coal under different conditions and establishes the relationship model between coal and blast by Matlab neural network in view of the situation that the ratio of air and coal needs to be difficulty controlled in the boiler combustion control. Then by using the Matlab engine technology completes.NET call to the Matlab neural network toolbox, it realizes the communication between neural network model and C#, generates the combustion control curve of the optimal ratio of air and coal. The field test proves that the neural network model is accurate and the communication method is flexible.

关 键 词：神经网络 C# MATLAB 通讯 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]