流量试验装置介质油变黏度人工神经网络控制  

Neural network intellectual control applied in the oil test set with varying slime

作　　者：许伟明[1] 左小五[1] 王静[1] 张佩[1] 

机构地区：[1]上海理工大学光学与电子信息工程学院,上海200093

出　　处：《上海理工大学学报》2007年第5期491-494,共4页Journal of University of Shanghai For Science and Technology

基　　金：上海市教委科研项目资助(06EZ012)

摘　　要：设计了基于误差反向传播(BP)人工神经网络原理的自适应比例微分积分(PID)智能控制器.采用组件对象模型(COM)的调用技术,建立了MATLAB语言的底层控制算法与Lab VIEW虚拟仪器平台的无缝接口.将此控制器应用于流量试验装置的介质油变黏度控制,在变工作点的控制实验中,表明此方法是可行的.Self-adaptive PID intelligent controller based on BP artificial neural network was designed adopting the technology of component object model transferring and the non-slot interface between bottom control arithmetic based on MATLAB and virtual instrument based on LabVIEW were established. The controller has been applied in the liquid test equipment with varying viscosity oil medium. The experiment shows the technology is available on the condition of varying operating point.

关 键 词：神经网络 组件对象模型 控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]