Research on Cauchy Mutation Grasshopper Optimization Algorithm-Based PID Control of the Dual-Drive Feed System

Due to have higher stiffness and higher stability, the structure of dual-drive feed system (DDFS) has been extensively used in modern CNC machine tools. However, the two-axis synchronization control accuracy of this system is the key problem that restricts its application in the development of CNC machine tools. Improving the synchronization control accuracy between the two-axis is the key to improving the machines’ performance. In order to improve the synchronization control accuracy of DDFS, a PID (Proportional-Integration-Differentiation) control strategy for DDFS based on Cauchy mutation grasshopper optimization algorithm (CMGOA) is innovatively proposed in this paper. The causes of two-axis desynchronization are analyzed by building a dynamic model of DDFS considering torsion. The relationship between torque and displacement of the DDFS is analyzed through the transfer function, and the DDFS is controlled through the PID control method optimized by CMGOA. The innovation lies in the optimization algorithm to optimize the two-axis PID control at the same time, which solves the problem that it is difficult to manually adjust according to the actual changes in the machine tool. Simulation and experimental results show that the PID control strategy based on CMGOA can effectively improve the synchronization control accuracy of DDFS.