Aiming at the problem of passive adjustment of traditional docking methods without the support of field measured data, the optimization feedback control technology of fuselage docking process was studied based on the digital twin virtual reality combination technology. A digital twin system integrating the redundant control algorithm and the process optimization strategy was built. The process of measurement-optimization-feedback accuracy optimization based on field measured data was clarified. The digital twin model was accurately reconstructed based on the finite-state machine theory. The monitoring and precision prediction of docking process were realized. The secondary design of process parameters was completed according to the coaxiality evaluation index. The optimized process parameters were redistributed to the physical site to control the on-site docking process. The comparison of the docking position and attitude deviation showed that the optimal control method of the docking accuracy reduced the position deviation of the fuselage barrel by 60.03% and the attitude deviation by 53.94%.