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

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.