A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding
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.
Huixuan Zhang, Ye Han, Fuxiao Chen and Jiuba Wen
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