High system parameter sensitivity and large current ripple are two key drawbacks that hinder the further development of model predictive control (MPC) for power converters and motor drives. In this article, an improved model-free predictive current control (MFPCC) based on an ultra-local model (ULM) is proposed for permanent magnet synchronous machines (PMSMs). The proposed method is free of dependence on arbitrary motor parameters and influence rejection of dc voltage mismatch since all unknown parameters of the ULM are estimated by current data only. Besides, the optimal voltage vector (VV) problem of MPC is converted to the shortest distance problem by constructing the forced current variation (FCV) domain based on the ULM. On this basis, a double-vector (DV) MFPCC is developed to suppress current ripple, thus reducing torque ripple. On the whole, the proposed method is low-computational and therefore can be deployed in low-cost digital controllers. In the end, a 2-kW experimental setup is built and experiments under different operating conditions are carried out to demonstrate the effectiveness of the proposed method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Double-Vector Model-Free Predictive Current Control for PMSMs With Influence Rejection of DC Voltage Mismatch


    Beteiligte:
    Zhu, Zhihao (Autor:in) / Wei, Xile (Autor:in) / Han, Ruixue (Autor:in) / Liu, Chunhua (Autor:in) / Zhang, Zhen (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.04.2025


    Format / Umfang :

    2597172 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Vector control of six-phase PMSMs with selective harmonic elimination PWM

    Yongxing Wang / Xuhui Wen / Feng zhao | IEEE | 2014



    Robust Fast Current Control for LCL-Equipped High-Speed PMSMs With Reduced Delay

    Cheng, Chenwen / Shi, Longhao / Hu, Mingjin et al. | IEEE | 2025


    Plant-model Mismatch Detection for Model Predictive Control System

    Shigi, Y. / Kano, M. / Hasebe, S. | British Library Online Contents | 2010