A Novel Constrained Model Predictive Position Control for PMSM Drives

This paper deals with a novel cascaded-free constrained model predictive position control (CMPPC) design for permanent magnet synchronous motors (PMSM). Predictive control theory is implemented to get rid of conventional three closed-loop position control structure so that bandwidth can be significantly improved. Considering the tough speed and current constraint handling problem in conventional model predictive control (MPC) design, this paper puts forward a novel computational-friendly constraint handling strategy that avoids the troublesome constrained MPC online optimization process in conventional solutions. The proposed method greatly decreases the MPC complexity but ensures the same constraints handling ability and makes predictive control applicable for single loop PMSM position control in reality. Simulation results verify the feasibility and effectiveness of the proposed method.