The present application relates to the technical field of
intelligent control, and more particularly to a
laser multi-axis flight
machining path
planning method based on adaptive weighted filtering, which comprises inputting a three-dimensional curved surface model and a target two-dimensional path, setting constraint thresholds of defocusing amount,
laser incidence angle and
galvanometer scanning range, setting a lower bound of a filtering factor, generating a midpoint filtering factor and a weight matrix of an initialized filtering factor, performing weighted filtering on the target two-dimensional path through an adaptive weighted filtering target function to obtain a smoothed two-dimensional path, projecting the smoothed two-dimensional path onto the three-dimensional curved surface to obtain a platform
machining path, calculating constraint parameters and constraint margins, generating segment filtering factor weights and updating the weight matrix, repeating the steps until iteration is completed, judging whether the platform
machining path meets the constraints, updating a search interval, repeating the steps to output a final platform machining path, and calculating a
galvanometer machining path. The method improves the path
smoothing degree, thereby improving the average feeding speed of the motion platform and the machining efficiency.