Model Predictive Control for PMSM Based on Discrete Space Vector Modulation with RLS Parameter Identification

Model Predictive Control (MPC) based on Discrete Space Vector Modulation (DSVM) has the advantages of simple mathematical model and fast dynamic response. It is widely used in permanent magnet synchronous motor (PMSM). Additionally, control performance DSVM-MPC influenced by accuracy parameters select speed optimal voltage vector. In order to identify accurately, predictive for PMSM discrete space vector modulation with recursive least squares (RLS) parameter identification proposed this paper. a method preselect candidate vectors more quickly. The simulation RLS-DSVM-MPC established simulate influence different performance. results show that RLS better than without identification.