This paper proposes an improved two-vector model-predictive torque control (MPTC) strategy to reduce the average torque ripple and improve the flux tracking performance. When determining the duty ratio of vector combination, this method aims at restricting the root mean square (RMS) error of both torque and flux during the whole control period. Every vector combination and corresponding time duration are evaluated in the cost function, which leads to global restriction of torque ripple and flux ripple. In order to avoid increasing switching frequency and computational burden, a restriction is added on the second vector. The three candidates of the second vector are the two adjacent vectors of the first one and zero vector. Simulation results are provided to show the effectiveness of the proposed strategy.


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    Titel :

    An improved two-vector model predictive torque control based on RMS duty ratio optimization for pmsm


    Beteiligte:
    Ma, Chenwei (Autor:in) / Yao, Xuliang (Autor:in) / Li, Huayu (Autor:in) / De Belie, Frederik (Autor:in)

    Erscheinungsdatum :

    2019-01-01


    Anmerkungen:

    2019 IEEE International Electric Machines & Drives Conference (IEMDC) ; ISBN: 9781538693506



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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