[1]王杰,陈春宇..基于神经网络逆系统的循环流化床内模控制[J].郑州大学学报(工学版),2013,34(02):71-75.[doi:10.3969/j. issn.1671 -6833.2013.02.019]
 WANG Jie,CHEN Chun-yu.Internal Model Control of Circulating Fluidized Bed Based onNeural Network Inverse System[J].Journal of Zhengzhou University (Engineering Science),2013,34(02):71-75.[doi:10.3969/j. issn.1671 -6833.2013.02.019]
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基于神经网络逆系统的循环流化床内模控制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
34卷
期数:
2013年02期
页码:
71-75
栏目:
出版日期:
2013-03-28

文章信息/Info

Title:
Internal Model Control of Circulating Fluidized Bed Based onNeural Network Inverse System
作者:
王杰陈春宇.
郑州大学电气工程学院,河南郑州,450001, 郑州大学电气工程学院,河南郑州,450001
Author(s):
WANG JieCHEN Chun-yu
School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China
关键词:
循环流化床锅炉 神经网络逆系统 解耦 内模控制
Keywords:
circulating fluidized bed boiler neural network inverse systemdecoupling internal model con-trol
分类号:
TK229.6
DOI:
10.3969/j. issn.1671 -6833.2013.02.019
文献标志码:
A
摘要:
在循环流化床锅炉(Circulating Fluidized Bed Boiler,CFBB)燃烧控制系统中,维持正常的床温和主蒸汽压力是循环流化床锅炉稳定、经济运行的关键.笔者针对这两个变量的强耦合特性,引入神经网络逆系统方法,实现系统的线性化解耦,并针对线性化解耦的非理想性以及参数、干扰等不确定因素对系统的影响,采用具有较好稳定性和抗干扰能力的内模控制策略对系统进行闭环控制.仿真结果表明,基于神经网络逆系统的内模控制方法不仅能够实现系统解耦,获得优良的静、动态特性,且具有良好的鲁棒稳定性和抑制扰动的能力.
Abstract:
In the circulating fluidized bed boiler( CFBB) combustion control system,to maintain normal bedtemperature and main stream pressure is key to the stable and economic operation of CFBB. In view of thestrong coupling relationship between this the two variables,this paper used neural network inverse systemmethod to solve decoupling problem of the system. Furthermore,in view of the imperfection of the decouplingand parameter perturbation,interference and other factors which affect the system,a closed-loop internal mod-el control strategy which has good stability and anti-jamming ability control is carried out. The simulation re-sult shows that internal model control based on neural network inverse system method can not only realize de-coupling of the system , get excellent static and dynamic characteristics, but also have good robust stability anddisturbance rejection capability.
更新日期/Last Update: 1900-01-01