This paper presents a novel safety-critical generalized predictive control (SCGPC) strategy for speed regulation of permanent synchronous motor (PMSM) drives with a non-cascade structure. The proposed approach incorporates a robust control barrier function (RCBF) to explicitly consider the current constraint, addressing the constraint deviation problem caused by disturbances through a disturbance estimation and compensation technique. By solving an optimization problem, the RCBF-based current constraint mechanism and the generalized predictive control (GPC)-based speed controller are unified, combining the advantages of GPC and model predictive control (MPC). The integrated approach achieves efficient calculation without imposing a high computational burden, while simultaneously ensuring fast-tracking of the desired speed and strict adherence to current constraint. Both simulation and experimental results confirm the effectiveness of the proposed approach when compared to traditional MPC and GPC methods.


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    Titel :

    Safety-Critical Generalized Predictive Control for PMSM Drives Based on Control Barrier Function


    Beteiligte:
    Cao, Zhongkun (Autor:in) / Mao, Jianliang (Autor:in) / Khan, Muhammad Irshad (Autor:in) / Dong, Xin (Autor:in) / Zhang, Chuanlin (Autor:in)


    Erscheinungsdatum :

    28.11.2023


    Format / Umfang :

    2994024 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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