Adaptive inverse control for water level of boiler drum based on neural network

被引：0

作者：

Peng, Daogang ^{[1
,2
]}

Zhang, Hao ^{[1
,2
]}

Yang, Ping ^{[1
]}

Wang, Yong ^{[1
]}

Xu, Chumei ^{[1
]}

机构：

[1] Shanghai Univ Elect Power, Dept Informat & Control Technol, Shanghai 200090, Peoples R China

[2] Tongji Univ, CIMS Res Ctr, Shanghai, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

adaptive inverse control; neural network; water level control; feed-forward compensation;

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：

In order to control the water level in power plant, an adaptive inverse control based on neural network is presented in this paper. It adopted the steam flux signal to the inverse controller considering the influence of load changing, which has feed-forward compensation for steam flux disturbance and can avoid "false water level" phenomenon. At the same time, the whole input signals of controlled object are combined by an neural network inverse controller NNIC and a robust controller RC, which make up of a changing robust controller to control the object. Thus, good regulating performance is guaranteed in the initial control stage, even the controlled object varies later. Simulation results show that this strategy is effective and practicable.

引用

页码：2911 / +

页数：2