Neurofuzzy network modelling and control of steam pressure in 300MW steam-boiler system

被引：0
|
作者：
Liu, XJ [1 ]
Lara-Rosano, F [1 ]
机构：
[1] Univ Nacl Autonoma Mexico, Ctr Ciencias Aplicadas & Desarrollo Tecnol, Mexico City 04510, DF, Mexico
来源：
PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Modelling and control of 300MW steam-boiler combustion system using neurofuzzy methodology is discussed in this paper. Associate Memory Network(AMN) is chosen to represent the nonlinear model of steam pressure system based on local mechanism model and dynamic experiments. With the established neurofuzzy model, a relative fuzzy PI controller is constituted. The performance of the control system has been verified by the simulation process and then tested on real-time process in DCS(Distributed Control System).
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页码：2282 / 2287
页数：6
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