A novel FCS-model predictive control algorithm with duty cycle optimization for surface-mounted PMSM

A novel finite control set model predictive control (FCS-MPC) with duty cycle control is proposed for surface-mounted permanent magnet synchronous motor (SM PMSM) drive system. This strategy can overcome the demerits of the conventional FCS-MPC such as undesired current ripple and unfixed switching frequency. Theoretical relationship between the cost function and the duty cycles in the A, B and C directions is derived using the model of PMSM. The proposed algorithm calculates duty cycles in the three directions respectively and establishes a new control set, and then selects the optimal voltage vector from the new control set by comparing the values of three duty cycles. Experiments with prototype are carried out. The result shows good performance of the proposed method with low distortion of stator currents, small torque ripple and fast dynamic response.