A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding

Zheng Hua Guo; Ping Fang; Jun Hua Cui; Jie Wang

doi:10.4028/www.scientific.net/AMM.117-119.1888

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 117-119A Study of Fuzzy Neural Networks Control for the...

A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding

Abstract:

A fuzzy neural network based system was developed to control the quality of resistance spot welding. A fuzzy neural controller (FNC) was designed to realize the memory of the fuzzy neural control bases on a back propagation (BP) network, accordingly achieve the mapping of fuzzy input and output. The experiment results show that this method can compensate the multi-crossfire’s influence on the welding currency, keep a high control precision, and fulfill the demand of high precision quality monitoring to the resistance spot welding.

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Periodical:

Applied Mechanics and Materials (Volumes 117-119)

Pages:

1888-1894

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.117-119.1888

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Online since:

October 2011

Authors:

Zheng Hua Guo, Ping Fang, Jun Hua Cui, Jie Wang

Keywords:

Fuzzy Control, Neural Network (NN), Quality Monitoring, Resistance Spot Welding (RSW)

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References

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