This paper describes a three-stage model predictive torque control method with sequential structure. The prediction trajectory of the torque and flux-linkage are extrapolated to two control instants. The first-stage selects alternative voltage vectors from all basic voltage vectors according to the torque prediction performance at the next one control instant, and the second-stage further reduces the range of candidate voltage vector by considering the whole prediction performance of the torque at next two control instants. Furthermore, the flux-linkage prediction performance at two control instants is evaluated in the third-stage to select an optimal vector voltage. Since three-stage prediction of the proposed method considers the comprehensive control performance of torque and flux-linkage at two control instants, the probability of adjacent periods with the same vector increases. Therefore, the switching frequency reduction of the inverter and improvement of the steady-state control performance are attained simultaneously in the proposed method. Ultimately, it is proved by comparative experiments.


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    Title :

    Three-stage Series Model Predictive Torque Control for PMSM Drives


    Contributors:
    Zhang, Xiaoguang (author) / Zhang, Guofu (author) / Gao, Xu (author)


    Publication date :

    2022-10-28


    Size :

    672980 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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