Title :
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
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;
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
DOI :
10.1109/SMCIA.2005.1466952