In order to improve the parameter robustness of the model predictive voltage control (MPVC) for SPMSM drives, a robust MPVC scheme is proposed in this article. First, the parameter sensitivity of MPVC is analyzed. Then, according to the reference voltage equation, the reference voltage error model is presented. In this model, only inductance information is included; the resistance and the flux-linkage parameter are avoided. Furthermore, the inductance error extraction system is designed to obtain accurate inductance information. Then, according to the inductance error and reference voltage error model, the accurate reference voltage is obtained by compensating for the reference voltage error in real time. Finally, the proposed method is verified by experiments. Experimental results prove that the proposed method can effectively enhance the robustness of the system and eliminate the negative impact of parameter mismatch.


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    Title :

    Model Predictive Voltage Control for SPMSM Drives With Parameter Robustness Optimization


    Contributors:
    Zhang, Xiaoguang (author) / Wang, Ziwei (author) / Zhao, Zhihao (author) / Cheng, Ming (author)


    Publication date :

    2022-09-01


    Size :

    2331392 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English