To develop a high-performance and reliable control for dual three-phase interior permanent magnet synchronous motor (IPMSM), accurate knowledge of machine parameters is of significance. This paper proposes an improved recursive least square (RLS) algorithm and a current injection-based parameter estimation method for dual three-phase PMSM with consideration of inverter nonlinearity and magnetic saturation. First, the vector space decomposition (VSD)-based dual three-phase PMSM model is established. The inverter nonlinearity model for dual three-phase PMSM is derived, and the cross saturation and the self-saturation of DQ1-axis inductances are modeled to improve the estimation accuracy. Finally, the machine parameters, including winding resistance, rotor flux linkage, and varying DQ1-axis inductances under different operating conditions, are estimated using the proposed current injection-based method with the RLS algorithm. Compared with existing methods, the proposed approach can achieve better estimation performance and is validated on a laboratory dual three-phase IPMSM under different temperature and operating conditions.


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    Title :

    Current Injection-Based Multi-parameter Estimation for Dual Three-Phase IPMSM Considering VSI Nonlinearity


    Contributors:
    Li, Ze (author) / Feng, Guodong (author) / Lai, Chunyan (author) / Banerjee, Debmalya (author) / Li, Wenlong (author) / Kar, Narayan C. (author)


    Publication date :

    2019-06-01


    Size :

    3267831 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English