Title :
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
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;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486921