Model Predictive Switching Control of PMSM Based on Parameter Identification

Model predictive control of permanent magnet synchronous motor is has attracted much attention, but the control strategy is highly sensitive to parameter changes. To avoid the decrease of system quality, model predictive control needs to improve the robustness of parameters. Adopt an incremental prediction model, combined with the recursive least squares parameter identification method, a dual vector model predictive current switching control strategy considering PMSM under parameter mismatch conditions is proposed. Simulation in MATLAB/Simulink, and compared with the conventional control strategy with parameter identification.