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
收藏
页码：341 / +
页数：2
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