自适应模糊神经网络控制在DCS上的实现  

Realization of Adaptive Fuzzy Neural Network Control on DCS

作　　者：孟华[1] 杜云[1] 吴学礼[1] 

机构地区：[1]河北科技大学电气信息学院,河北石家庄050054

出　　处：《河北科技大学学报》2003年第3期23-25,共3页Journal of Hebei University of Science and Technology

基　　金：河北省科技攻关计划项目(01213407D)

摘　　要：集散控制系统(DCS)的普及与提高为先进控制的应用提供了强有力的硬件和软件平台。为充分利用DCS系统的资源,笔者利用DCS提供的接口和编程语言进行了先进控制研究与实现,通过对电阻炉炉温控制,证明其方法的可行性及有效性,取得了满意的控制效果。The quick development of distributed control system (DCS) provides a powerful hardware and software platform for the application of advanced control. In order to fully use the advantages of DCS, we study and realize the advanced control with the interface and programming provided by DCS. By controlling temperature of resistance heating furnace, the feasibility and validity of the method have been proved. It also has made the satisfactory result.

关 键 词：集散控制系统 DCS 自适应模糊神经网络控制 模糊控制 接口 编程语言 控制算法 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TP273.5[自动化与计算机技术—控制科学与工程]