Application of An Improved GPC Algorithm in Permanent Magnet Synchronous Linear Motor Position Control System

In order to reduce the position overshoot of the permanent magnet synchronous linear motor (PMSLM) vector control system and improve the system response, on the basis of given mathematical model and mechanical motion equations of PMSLM in the d-q rotating coordinate system, controlled auto regressive integrated moving average (CARIMA) model have been introduced. A new generalized predictive controller of PMSLM system have been designed based on this model and Sun Jun’s proposed generalized predictive control algorithm that takes full advantage of predictive information. Simulation results show that this controller has the advantages of small overshoot and excellent tracking performance.