Motion Control Algorithm of Five-Axis Virtual Axis CNC Machine Tool in the Internet Era

Abstract

In the Internet age, five-axis virtual-axis CNC machine tools have a very wide range of applications in the field of complex free-form surface processing. With the rapid development of CNC technology, higher requirements are put forward for the machining accuracy of five-axis virtual-axis CNC machine tools. The purpose of this paper is to study the motion control algorithm of five-axis virtual axis CNC machine tools in the Internet era. Based on the kinematic analysis and modeling of the parallel mechanism, this paper proposes two control algorithms, and analyzes in detail the trajectory tracking control effect and control input of the two control methods. The simulation results show that the neural network sliding mode control method has fast tracking speed, high control accuracy, and can effectively eliminate the chattering phenomenon existing in conventional sliding mode control. According to the actual situation of the CNC system software, this article develops a reusable and modular CNC software system through the analysis of the CNC system software architecture and functions to reduce the development cost of the CNC system software and improve market competitiveness. Experimental research shows that the control amount of FCMAC neural network sliding mode control is relatively smooth, which effectively suppresses the chattering phenomenon of conventional sliding mode control. After t = 0.2 s, the actual trajectory almost coincides with the expected trajectory, and the magnitude of the steady-state error reaches 0.01. It can be concluded that using FCMAC neural network sliding mode control to realize the trajectory tracking control of a five-axis virtual-axis CNC machine tool can meet the control requirements of general industrial systems.