This paper proposes a sensorless control strategy for permanent magnetic synchronous motors (PMSMs) based on an improved active flux observer. Combined with current model and voltage model, the active flux observer can estimate the position of PMSMs in a wide speed range, and reduce the influence of dc drifts and integral saturation problems. Considering the impact of high-frequency noises, a cross-feedback network based on multiple adaptive vector filter is applied to extract the fundamental wave of the estimated active flux. Lastly, a phase locked loop is used to extract the position and speed information from the estimated active flux. To improve the estimated accuracy under dynamic condition, a linear extended state observer is applied. The effectiveness of the proposed method is verified by simulations.


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    Title :

    An Improved Active Flux Observer Based on Linear Extended State Observer


    Contributors:
    Li, Bowen (author) / Zhang, Xiaokang (author) / Wang, Fei (author)


    Publication date :

    2024-10-10


    Size :

    1150333 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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