DocumentCode
2850916
Title
Research on fuzzy intelligent control of coke oven temperature
Author
Jiang, Guozhang ; Li, Gongfa ; Kong, Jianyi ; Xie, Liangxi
Author_Institution
Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
26-28 May 2010
Firstpage
221
Lastpage
224
Abstract
Coke oven production has the characteristic of nonlinear, large inertia, large disturbances highly-coupling and so on. The control method of “Intermittent heating control” was adopted in traditional heating control system of coke, and cannot satisfy the command of heating control on coke oven. The control principle of combining the “intermittent heating control” with the heating gas flow adjustment was adopted according to analyzing the difficulty and strategy of heating control on coke oven. On the basis of studying deficiency of the existing control strategy, fuzzy control was proposed to establish heating intelligent control of coke oven. The algorithm of intelligent fuzzy immune PID control was designed and simulation of coke oven production was carried. The results show that the intelligent fuzzy immune PID control has the advantages of shorter adjustment time, quicker response time, higher anti-interference ability better dynamic property and stability. It can reduce effectively the fluctuation of coke oven temperature, has better control property and practical value.
Keywords
coke; fuzzy control; intelligent control; ovens; petroleum industry; temperature control; three-term control; PID control; coke oven production; coke oven temperature; fuzzy intelligent control; intermittent heating control; Algorithm design and analysis; Control systems; Fluid flow; Fuzzy control; Heating; Intelligent control; Ovens; Production; Temperature control; Three-term control; PID control; coke oven; fuzzy control; immune feedback; intelligent control; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5499083
Filename
5499083
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