• DocumentCode
    2723327
  • Title

    Modeling and fuzzy control of the resistance spot welding process

  • Author

    Chen, Xingqiao ; Araki, Kenji ; Mizuno, Takeshi

  • Author_Institution
    Dept. of Mech. Eng., Saitama Univ., Urawa, Japan
  • fYear
    1997
  • fDate
    29-31 Jul 1997
  • Firstpage
    989
  • Lastpage
    994
  • Abstract
    Establishes a welding energy model and describes a fuzzy adaptive process control scheme for a resistance spot welding system. For a welding system, it is not easy to measure online the output, the nugget size, by usual measuring methods. It is also difficult to control the welding process in real time. The paper proposes a method using input welding energy to estimate the nugget size and to assess the welding process. An optimal welding energy reference model is found and compared with different input methods of welding energy. A fuzzy adaptive process control scheme with the model is also described to realize real time control and to improve control performance. The results of simulation and experiments show that the reference model is effective for reducing energy loss and producing a sound nugget and the fuzzy adaptive control scheme may obtain an optimal control process for resistance spot welding
  • Keywords
    adaptive control; fuzzy control; optimal control; process control; resistance welding; control performance; fuzzy adaptive process control; input welding energy; optimal control; real time control; resistance spot welding; welding energy model; Adaptive control; Electrical resistance measurement; Energy loss; Fuzzy control; Fuzzy systems; Optimal control; Process control; Programmable control; Size measurement; Spot welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE '97. Proceedings of the 36th SICE Annual Conference. International Session Papers
  • Conference_Location
    Tokushima
  • Type

    conf

  • DOI
    10.1109/SICE.1997.624895
  • Filename
    624895