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
Link To Document :
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