Abstract: In order to enhance the control precision and welding quality of resistance spot welding(RSW),according to the RSW control characteristics,it put forward the RSW fuzzy artificial neural network(FANN) control method based on variable universe by integrating the variable universe technology and FANN.The network structure of FANN was designed and the process of neural computation dealing with the fuzzy,the fuzzy rules and the solution of fuzzy was analyzed.And the method of how to fix on the extension-contraction factors of input and output universe was researched.Then a kind of FANN controller of RSW with the variable universe was developed,being applied to a kind of spot welding experiments to study and analyze.The results prove the FANN control method is better than other fuzzy control methods.