Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.


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    Titel :

    A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter


    Beteiligte:
    Wang, Qi (Autor:in) / Yu, Haitao (Autor:in) / Li, Chen (Autor:in) / Lang, Xiaoyu (Autor:in) / Yeoh, Seang Shen (Autor:in) / Yang, Tao (Autor:in) / Rivera, Marco (Autor:in) / Bozhko, Serhiy (Autor:in) / Wheeler, Patrick (Autor:in)


    Erscheinungsdatum :

    2020-09-01


    Format / Umfang :

    3791921 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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