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Workshop on Intelligent Information Technology Application (IITA 2007)
Research on Fuzzy Intelligent Control of Coke oven Heating
Zhang Jiajia, China
December 02-December 03
ISBN: 0-7695-3063-X
The control principle of combining the intermittent heating control with the heating gas flow adjustment was adopted for coke oven heating control. Intelligent control strategy and an integrated model of coke oven heating were proposed, which combined two feedback control, one feedforward control and intelligent control. According to coking mechanism, heating supplied feedforward model was built, and carbonization index feedback model was proposed in the model to control coking management of coke oven. Flue temperature soft measurement model based on linear regression and neural network was built to supply temperature feedback control. According to artificial experience and actual condition in the plant, the fuzzy rules were generated. The proper amount of stopping heating time and heating gas flow were computed taking the operation condition of coke oven into account. Actual run results show that the strategy and model can solve the large inertia effectively and shorten adjustment time. So the system satisfies the actual production needs, and has great practical value.
Citation:
Gongfa Li, Jianyi Kong, Guozhang Jiang, Jintang Yang, Hegen Xiong, Yu hou, "Research on Fuzzy Intelligent Control of Coke oven Heating," iita, pp.307-310, Workshop on Intelligent Information Technology Application (IITA 2007), 2007
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