DocumentCode
3138305
Title
Fuzzy adaptive process control of resistance spot welding with a current reference model
Author
Chen, Xingqiao ; Araki, Kenji
Author_Institution
Dept. of Mech. Eng., Saitama Univ., Urawa, Japan
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
190
Abstract
This paper describes a fuzzy adaptive process control scheme for resistance spot welding and proposes a new method identifying dynamic welding resistance to estimate the spot welding process. An optimal current reference model is also founded, which would modify its output according to the stages in the spot welding process. Then a fuzzy adaptive real time process control system is developed with a fuzzy controller and the welding current reference model. The results of simulations and experiments show that the fuzzy adaptive process control has better transient performance for the welding process. Through simulation and numerical calculation it is shown that a bigger sound nugget could be obtained by the proposed scheme with the same welding time and input energy as the usual constant current control method. Simultaneously, it is also indicated that the welding current reference model is effective for reducing loss energy and realizing online process control for spot welding
Keywords
adaptive control; fuzzy control; process control; real-time systems; resistance welding; current reference model; dynamic welding resistance; experiments; fuzzy adaptive process control; fuzzy controller; input energy; numerical calculation; online process control; performance; real time process control; resistance spot welding; simulations; Adaptive control; Current control; Electrodes; Electronic mail; Force control; Fuzzy control; Nonlinear dynamical systems; Process control; Programmable control; Spot welding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672763
Filename
672763
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