Design of PMSLM Position Controller Based on Model Predictive Control Algorithm
Zheng Li, Jinfeng An, Qingshan Zhang, Huixian Liu, Hexu Sun
Abstract
In order to simplify the permanent magnet synchronous linear motor (PMSLM) system structure, optimize the moving performance of the control system, and further improve the position tracking accuracy of the PMSLM, a PMSLM position controller based on the model prediction algorithm is proposed (PMPC). This paper designs two position model predictive controller schemes: the first scheme is to directly use the linear displacement and q-axis current of the PMSLM to establish a second-order mathematical model, and combine the model predictive algorithm to design the PMPC. The second scheme is to first combine the linear motor motion equation and thrust equation with the model prediction algorithm to design a velocity model predictive controller (VMPC), then on the basis of the VMPC, use the relationship between the PMSLM displacement and the running speed to comprehensively design the PMPC is used as the outer loop controller of the control system. The two PMSLM control methods designed in this paper only need position loop and current loop to achieve precise trajectory tracking. Then, the analysis of the two control schemes shows that the second scheme is superior to the first scheme in terms of control performance. Finally, the PMPC model of the second scheme is built by simulation software to simulate and test. By analyzing the experimental data, it shows that the control method not only simplifies the control system in terms of structure, but also improves the accuracy of PMSLM tracking the direction change of the motion trajectory, and optimizes the control ability of the control system.