Finite Set Model Predictive Control (FS-MPC) of three phase Vienna rectifiers has gained popularity due to its superior control action and ability to handle system constraints. However, FS-MPC performance depends largely on the accuracy of the predictive model of the system. The presence of unmodelled converter non-idealities, parameter variations and model inaccuracies leads to input current distortions. A Moving Average (MA) based FS-MPC algorithm is proposed in this paper to improve the input current quality. The proposed MA based FS-MPC algorithm does not require the values of the converter non-idealities and their variations. The proposed MA based FSMPC algorithm is validated in simulation studies.


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    Title :

    An Improved FS-MPC Algorithm for Vienna Rectifier Based EV Chargers


    Contributors:


    Publication date :

    2020-06-01


    Size :

    1090868 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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