Comparative Study of Parameter Mismatch on Different Model Predictive Controls for PMSM Drives

Model predictive control (MPC) is known for its good dynamic performance, but the parameter mismatch issue has long been concerned. In order to help evaluating and improving the control performance of MPC, a comprehensive knowledge of the side-effects of a variety of possible parameter mismatches on different MPC types is highly required. In this paper, three main MPC types, i.e. the continuous-control-set MPC (CCS-MPC), the finite-control-set MPC (FCS-MPC), and the generalized predictive control (GPC), are considered for the permanent magnet synchronous machine (PMSM) drive. Three types of parameter mismatch are considered, i.e. mismatches of the stator resistance, stator inductance, and permanent magnet flux linkage. Their side-effects, including the steady-state control errors and the stability issues, on all the three MPC types are theoretically analyzed and compared. Simulation results are provided to validate the correctness of the comparison study.