Neuro-fuzzy generalized predictive control of boiler steam temperature

被引：0

作者：

Liu, Xiang-Jie ^{[1
]}

Liu, Ji-Zhen ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Automat, Beijing 102206, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Reliable control of superheated steam temperature is necessary to ensure high efficiency and high load-following capability in the operation of modem power plant. A nonlinear generalized predictive controller based on neuro-fuzzy network (NFGPC) is proposed in this paper, which consists of local GPCs designed using the local linear models of the neuro-fuzzy network. The proposed nonlinear controller is applied to control the superheated steam temperature of a 200MW power plant, in which much better performance than the traditional cascade PI controller or the linear GPC is obtained.

引用

页码：1027 / 1032

页数：6

共 8 条

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