辊涂机膜厚神经网络控制系统分析  

Analyze the thickness control in coating machine using Neural Network

作　　者：于正安[1] 程军周[1] 谢咏山[1] 浦文杰[1] 刘鹏[1] 

机构地区：[1]中国重型机械研究院,陕西西安710032

出　　处：《重型机械》2007年第3期1-4,共4页Heavy Machinery

摘　　要：阐述了影响辊涂机膜厚的因素,分析了神经网络系统控制的特点,并将神经网络系统应用于辊涂机膜厚控制,对影响辊涂机膜厚的主要因素进行模糊处理,达到了将膜厚控制在一定工艺范围内的目的,解决了传统控制方法造成膜厚不符合工艺要求的问题。The paper states the factors which have effect on the thickness control in coating machine, analyzes the characteristic of the Neural Network System and exert the system to the coating control. Fuzzy method is used to deal with the main factors that influence upon the thickness of the coating. As a result, the thickness can be limited within a certain range. That means the problem with the thickness in the coating machine, i.e. over limited range if using the traditional control methode, has been resolved.

关 键 词：表面工程 涂覆机 膜厚控制 顺涂 逆涂 辊间压力 

分 类 号：TG335.22[金属学及工艺—金属压力加工]