• 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