• DocumentCode
    3101619
  • Title

    Research on temperature controller for high vacuum annealing furnace

  • Author

    Yue, Yan-fang ; Wang, Hui-zhen ; Chang, Hong-jie

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    6
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    3291
  • Lastpage
    3293
  • Abstract
    This paper designs a kind of fuzzy temperature controller, which is suitable for high vacuum annealing furnace. Based on the high vacuum diffusing heat process´s special characteristics, which are radiation only; the uneven temperature distribution inside furnace; the slow speed of work piece´s temperature response; and easy to produce large overshoot, the paper designs a fuzzy inference in this controller. This fuzzy inference can adjust parameter of controller automatically on line through system error and error change. Through this fuzzy inference, controller can adapt to different control objects and various states. The results of experiment show that the temperature controller has several specific characteristics, which include: high control precision, small overshoot and better adaptive control etc. This controller can definitely satisfy the request of crystal annealing technology in high vacuum.
  • Keywords
    furnaces; fuzzy control; fuzzy reasoning; industrial control; temperature control; fuzzy inference; fuzzy temperature controller; high vacuum annealing furnace; high vacuum diffusing heat process; temperature distribution; temperature response; Adaptive control; Annealing; Automatic control; Control systems; Error correction; Furnaces; Fuzzy control; Fuzzy systems; Temperature control; Temperature distribution; High vacuum annealing furnace; fuzzy control; on-line adjustment; temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212741
  • Filename
    5212741