The most important indexes such as the maximum motion speed, tracking accuracy and positioning accuracy of CNC machine tools depend on the dynamic and static performance of the drive and position control system. Therefore, research and development of high-performance drive systems and position control systems has always been one of the key technologies for the research of CNC machine tools. The former CNC machine position servo control still applies the classical control method. The advantage is that the algorithm is simple and easy to implement, but it exists. The control parameters are poorly adaptable and the anti-interference ability is not strong. In order to meet the manufacturing industry's pursuit of high-efficiency production of high-quality products and the processing needs of increasingly complex shapes, it is required to continuously improve and improve the steady-state accuracy, dynamic response characteristics of the position servo system, and changes in system parameters. Adaptability and anti-interference, it is an inevitable trend to adopt and develop advanced control technology. It is a pity that there are very few technologies that have practical value in many of the current control algorithms, and there is still a big gap between them and practical applications. The main performance is that it is difficult to meet the real-time requirements of control due to the limitation of algorithm calculation; Parameter design and stability analysis are not perfect; modeling error limits the quality of control. In this paper, an online intelligent position controller is designed by using the self-learning function of neural network, and it is used in the real-time control of actual CNC machining, and has achieved good control effect. Due to the screw pitch error and the influence of the lead screw and bearing deformation after loading, the semi-closed loop does not completely correct the detection result, and the control precision is lower than the closed loop. From the principle of automatic control, the workbench is a mass component, and the transmission mechanism can be regarded as an elastic component due to deformation, and the two constitute a low-damping oscillation link. The semi-closed loop does not contain this link, and generally does not cause feed oscillation; if the closed loop is improperly selected, it may cause instability. (Finish)
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