Model Predictive Torque Control for PMSM Driven by Three-Level Inverter Based on Extended Kalman Filter Speed Observer

Based on the extended Kalman filter algorithm, a non sensor model predictive torque control strategy is proposed for the permanent magnet synchronous motor (PMSM) driven by three-level inverter. The method of MPTC is proposed in order to reduce the torque and flux ripple and improve the control performance of the system, the speed observer based on the extended Kalman filter algorithm can realize the online observation of motor speed and enhance the robustness of the system. Compared with the traditional sliding mode speed observer, the observer is more simple and easier to implement. Also, the observer reduces the ripple of the motor speed in high frequency range in an efficient way. The control strategy in this paper can make PMSM MPTC system have better control performance, stronger robustness and good dynamic performance.The simulation results validate the feasibility and effectiveness of the proposed scheme.