This article proposes a novel two-stage series model predictive control (MPC) method using discrete space virtual voltage modulation (DSVVM) for five-phase permanent magnet synchronous hub motors (PMSHMs). The proposed control method is applied to optimize two control periods. First, the usage of DSVVM reduces harmonic currents in the harmonic plane while minimizing current tracking errors in the primary plane. Second, the simplified prediction vector selection strategy is designed to select the candidate prediction vectors to avoid the increasing computational burden caused by DSVVM. Third, the first-stage prediction results are extrapolated at the second prediction step to ensure the best control effect during the two control periods while using the same virtual vector. Additionally, the proposed switching pattern of double virtual vectors ensures minimal transitions during the two control periods. Finally, comparative experiments conducted on a DSP between the proposed approach and the conventional MPC methods are conducted to verify the effectiveness of the proposed method.


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    Titel :

    Model Predictive Control With Series Structure for Five-Phase PMSHM Based on Discrete Space Virtual Voltage Modulation


    Beteiligte:
    Li, Ke (Autor:in) / Zha, Xuhao (Autor:in) / Sun, Xiaodong (Autor:in) / Lei, Gang (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.02.2025


    Format / Umfang :

    2789001 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch