Application of the batch incremental clustering algorithm for Coke Oven Intelligent Control

Author

Yuliang, Chen ; Wei, Zhao ; Zhigang, Li

Author_Institution

Coll. of Light Ind., Hebei Polytech. Univ., Tangshan, China

Volume

4

fYear

2010

fDate

27-29 March 2010

Firstpage

586

Lastpage

589

Abstract

The paper discusses the batch incremental clustering algorithm in the application for Coke Oven Intelligent Control. By analyzing new data by bulk incremental clustering algorithm, the fuzzy control rule base will be updated. And then, the simulating models for gas collector pressure system and its control system is established under the condition of software MATLAB. The simulating result with the control effect of the fuzzy control rules gotten by experience induction is compared, which proves the method to be rational and feasible.

Keywords

coke; fuzzy control; heat systems; intelligent control; ovens; pattern clustering; batch incremental clustering algorithm; coke oven intelligent control; control system; fuzzy control rule base; gas collector pressure system; software MATLAB; Algorithm design and analysis; Application software; Clustering algorithms; Control system synthesis; Data analysis; Fuzzy control; Intelligent control; Mathematical model; Ovens; Pressure control; Clustering algorithm; Gas-collector pressure; Simulation analysis; fuzzy control rule;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5486921

Filename

5486921