Multivariable Intelligent Decoupling Control System and its Application

被引：8

作者：

TianYou CHAI Heng YUE National Engineering and Technology Research Center for Metallurgic Industry Automation Northeastern University Shenyang P R China ^{[110004
]}

机构：

来源：

自动化学报 | 2005年 / 01期

关键词：

Neural network decoupling control; intelligent decoupling control system; coal-pulverizing systems;

D O I：

10.16383/j.aas.2005.01.012

中图分类号：

TP273.5 [];

学科分类号：

摘要：

<正>Many industrial processes have compositive complexities including multivariable, strong coupling, nonlinearity, time-variant and operating condition variations. Combining multivariable adaptive decoupling control with neural networks, this paper presents a multivariable neural network-based decoupling control algorithm. This control algorithm is integrated with distributed control technique and intelligent control technique, and a three-leveled intelligent decoupling control system consisting of basic control level, coordinating control level, and management and decision level is developed. The configuration and function of the control system are discussed in detail. This system has been successfully applied in ball mill pulverizing systems of 200MW power units, and remarkable benefits have been obtained.

引用

页码：123 / 131

页数：9