An intelligent control scheme with self-updating for industrial processes

Author

Liu, Limin ; Yan, Ping ; Wang, Yunxiu ; Liu, Qingdong

Author_Institution

Inst. of Embedded Syst., Huzhou Univ., Zhejiang, China

fYear

2005

fDate

28-30 June 2005

Firstpage

79

Lastpage

84

Abstract

A control scheme based on fuzzy intelligent control for an industrial process in some electric power plants is introduced in this paper. The process is complex, nonlinear and closed couple. An optimized control based on mathematic models is difficult for it. The design of intelligent control is mainly concerned to a fuzzy inferring system based on knowledge. Several rule sets are set up for various applications. One of them can update rules within the control system. It makes the system have a function of rule self-updating. A simulation shows that the scheme is useful.

Keywords

ball milling; coal; fuzzy control; fuzzy systems; industrial plants; inference mechanisms; intelligent control; optimal control; power plants; power system control; process control; ball mill pulverizing; control system; electric power plant; fired-coal power plants; fuzzy inferring system; fuzzy intelligent control; industrial process; mathematic model; optimized control; self-updating intelligent control scheme; simulation; Couplings; Electrical equipment industry; Fuzzy control; Fuzzy systems; Industrial control; Intelligent control; Mathematical model; Mathematics; Power system modeling; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2005. SMCia/05. Proceedings of the 2005 IEEE Mid-Summer Workshop on

Print_ISBN

0-7803-8942-5

Type

conf

DOI

10.1109/SMCIA.2005.1466952

Filename

1466952