DocumentCode :
2008924
Title :
An Intelligent Control System for Coke Calcination in Rotary Kiln
Author :
Yang, Chunhua ; Zhu, Hongqiu ; Gui, Weihua
Author_Institution :
Central South Univ., Changsha
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
2365
Lastpage :
2369
Abstract :
Petroleum coke is usually calcined in rotary kiln. It is a very prevalent problem of unstable production conditions and low recovery rates in coke calcination process. The temperature field in calcining zone is a crucial factor that affects the output and quality of calcined petroleum coke (CPC). Based on the analysis of the major factors affecting the temperature field in above zone, an intelligent control system for coke calcination in rotary kiln is presented to stabilize the temperature field and maximize coke calcination rotary kiln performance by expert hybrid reasoning method combining case-based reasoning with rule-based reasoning in this paper. Some main subsystems are introduced briefly. The system has been running in a coke calcination plant since 2005. Efficiency, economy, and unusual facility and reliability of control system are improved. The results of actual running show the validity and the feasibility of this system.
Keywords :
calcination; case-based reasoning; coke; expert systems; intelligent control; kilns; petroleum; stability; calcined petroleum coke; calcining zone; case-based reasoning; coke calcination; expert hybrid reasoning; intelligent control system; reliability; rotary kiln; rule-based reasoning; stability; temperature field; Anodes; Calcination; Carbon; Control systems; Intelligent control; Kilns; Petroleum; Production; Raw materials; Temperature; carbon calcination; expert optimization system; intelligent control; rotary kiln;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376784
Filename :
4376784
Link To Document :
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