The invention belongs to the technical field of spin riveting control, and discloses a self-
adaptive control method and
system for a spin riveting gap of a rotary
fastener. Multi-dimensional key parameters of the
fastener are comprehensively captured in a collection and calibration stage, and cold rolling physical characteristics of spin riveting
machining are combined; constructing three core models of
dynamic prediction of the spin riveting gap, gap springback prediction and
interference factor association, and then realizing real-time linkage of parameters, gaps and interference factors through an adaptive adjustment
algorithm; aiming at various dynamic interferences such as material parameter difference, tool abrasion and temperature fluctuation, accurate identification and targeted adjustment can be carried out, the problem that a gap is too large or too small due to fixed parameters is avoided, and the
bonding strength, the coaxiality and the anti-fatigue performance of the rotary
fastener are improved; a cooperative detection
system is formed by a displacement sensor, a
torque sensor and a
laser gap sensor, and dynamic changes of gaps in the spin riveting process are accurately captured through double
verification of indirect detection and direct detection.