Design of clustering adaptive fuzzy controller of drum boiler superheat temperature based on genetic algorithm

被引：0

作者：

Li Xinbin ^{[1
]}

Dou Chunxia ^{[2
]}

Nian Xiaohong ^{[2
]}

机构：

[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China

[2] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年

关键词：

fuzzy control; genetic algorithm; clustering algorithm; superheat temperature;

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：

Based on the combination of clustering algorithm and fuzzy control, a kind of clustering adaptive fuzzy controller is designed and applied to the nonlinear big-lagged superheat temperature system of drum boiler. The subjection parameters of the fuzzy controller are optimized by improved genetic algorithm. The problem of nonlinear and time-delay for superheat temperature system is solved effectively. Simulation results show that the proposed project has satisfying control performance and further prospects for its engineering applications.

引用

页码：341 / +

页数：2