In this paper, an integral-type position and speed estimator is developed for sensorless control of PMSM to enhance the filter ability in estimating the rotor speed. Based on the variable gradient method, a Lyapunov function is developed to show that the proposed integral-type estimator is stability. Compared with the SRF-PLL based estimator, the proposed integral-type estimator has better filter capability in estimating the rotor speed. Simulation tests also verify the superior performance of the proposed integral-type estimator, in terms of accurate speed estimation.


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    Title :

    Integral-type position and speed estimator for sensorless control of PMSM


    Contributors:
    Wang, Jin (author) / Fan, Lujian (author) / Li, Guangqi (author) / Dai, Zhiyong (author)


    Publication date :

    2022-10-28


    Size :

    2023135 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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