This paper presents a speed sensorless method for controlling the brushless doubly-fed reluctance machine (BDFRM) using a simplified finite-control-set model predictive control (FCS-MPC) scheme. The acclaimed scheme corresponds to a simplification in the formulation of conventional FCS-MPCC scheme by reducing the calculation time associated to the prediction stage of model predictive control (MPC) algorithm, thereby maintaining simplicity in implementation and execution. Moreover, independent control of speed and flux of the machine is guaranteed under primary field orientation strategy. To get rid of speed encoder related shortcomings and get true instantaneous speed information, the secondary side reactive power $(\boldsymbol{Q}_{s})$ based model reference adaptive system $(\boldsymbol{Q}_{s}-\mathbf{MRAS})$ as shaft speed and position estimator is incorporated. Extensive simulations in MATLAB/Simulink confirm the effectiveness of the proposed scheme in respect of appreciable steady-state and dynamic performances.


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    Title :

    Sensorless Speed Control of Brushless Doubly-fed Reluctance Machine Drive: A Simplified Model Predictive Control Approach


    Contributors:
    Kiran, Karuna (author) / Das, Sukanta (author) / Pal, Abhisek (author) / Anand, Sumant (author)


    Publication date :

    2024-07-31


    Size :

    1684778 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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