With the rapid development of science and technology and the rapid development of industry,many industrial fields have put forward higher requirements for the performance of control systems.Ordinary planar control systems can no longer meet the increasingly complex spatial tasks,while three-axis motion control systems have a strong advantage in three-dimensional space tasks.Therefore,from the perspective of the manufacturing industry,an iterative learning cross-coupled contour error control method is devoted to research for three-axis motion control systems,by which not only the tracking performance of a single axis can be ensured,but also the inconsistency of the movement between the axes can be reduced to decrease the contour error.The traditional two-axis error model and the three-axis error model based on the vector method were introduced,as well as the concepts of iterative learning control and cross-coupling control.A three-axis cross-coupling iterative learning control algorithm was proposed to improve the performance of the three-axis motion control system.Finally through related comparative experiments,it is verified the algorithm can be used to reduce the contour error effectively.