An Adaptive Calibration Method for Laser Punching Position Deviation Based on Visual Sensors

Aiming at the problem of large deviation of punching position caused by observation noise during laser punching, an adaptive calibration method of laser punching position deviation based on a vision sensor is proposed. The coordinate system is constructed related to the laser punching position, the observation equations and three-dimensional attitude vectors of the laser punching position are obtained, and then these are converted into the rotation matrix as the ideal position coordinates of the laser punching. The actual laser punching position information is obtained by the sensor, and the laser punching feature points obtained by the vision sensor are filtered by the untraceable Kalman filtering method, and the calibration coordinates of the ideal laser punching position are obtained according to the method. By calculating the slopes of the offset between the calibration coordinates of the laser punching position and the ideal coordinates, the laser punching offset phases are obtained, and according to the correction ability of the deformation mirrors, the deformation mirrors are searched for the offset phases by using the optimization algorithm. According to the calibration ability of the deformation mirror, the optimization algorithm is used to search the residual term of the laser beam when the laser beam quality is optimal after the compensation, and the traditional adaptive optics system is used for the compensation of aberration to realize the adaptive calibration of the laser punching position deviation. Through experimental analysis, this method has high accuracy and reliability in the calibration of laser punching position deviation, which can effectively reduce the error of punching position and improve the accuracy and quality of punching.