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

Abstract:

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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.

Info:

Periodical:

Edited by:

Huixuan Zhang, Ye Han, Fuxiao Chen and Jiuba Wen

Pages:

1888-1894

DOI:

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

Citation:

Z. H. Guo et al., "A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding", Applied Mechanics and Materials, Vols. 117-119, pp. 1888-1894, 2012

Online since:

October 2011

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Price:

$35.00

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