This article proposes a cost function error-based approach to diagnose open-circuit faults (OCFs) in permanent magnet synchronous machine drives with model predictive current control. The intrinsic relations of motor currents and cost functions under fault conditions are investigated. The residuals of the dq-axis currents are utilized to detect the fault type associated with the number of faulty devices. Instead of deriving the explicit values of cost functions, an estimation model is built according to the analytical expressions of currents and the optimal voltage vector. The error between the estimated cost function and the actual one is analyzed for fault localization. The faulty switch is finally diagnosed by assessing the minimum average absolute value of the cost function error. Simulated and experimental results confirm that the developed approach can achieve a fast diagnosis of single and multiple OCFs with good robustness to the motor parameter and operating power variations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Open-Circuit Fault Detection in PMSM Drives Using Model Predictive Control and Cost Function Error


    Beteiligte:
    Huang, Wentao (Autor:in) / Luo, Liyan (Autor:in) / Du, Jiachen (Autor:in) / Xiang, Baitan (Autor:in) / Mei, Sanguan (Autor:in) / Zhou, Lingkang (Autor:in) / Fan, Qigao (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    2834926 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Hybrid Vector Model Predictive Control for Open-Winding PMSM Drives

    Zhang, Xiaoguang / Zhang, Han / Yan, Kang | IEEE | 2024


    Model Predictive Control of Five-Level Open-End Winding PMSM Drives

    Chen, Yancheng / Wang, Xueqing / Xiao, Dianxun et al. | IEEE | 2024


    Modulated Model Predictive Speed Control for PMSM Drives

    Garcia, Cristian / Rodriguez, Jose / Odhano, Shafiq et al. | IEEE | 2018