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Model predictive control (MPC) is an attractive technique for power electronics and drives. It requires no extra modulators and considers the non-linear nature of the power converter, so remarkable control performance can be achieved. However, since the conventional MPC scheme uses only one switching state during the whole control interval, ripples of the control variables are more evident than that...
Direct Model Predictive Power Control (DMPPC) has emerged as a viable alternative for grid-tied Active Front End (AFE) power converters. However, its one-switching-vector-per-sampling-interval character leads to big ripples in its control variables. This work proposes a Performance-Enhanced Direct Multiple-Vector Model Predictive Power Control (DMV-MPPC) solution for grid-tied AFEs directly implementable...
Single-switching-vector-per-sampling-interval character of the classical Direct Model Predictive Power Control (DMPPC) technique leads to big ripples of the control variables. Therefore, with a similar sampling frequency, its steady state performance is not satisfying. This work proposed a Revised Direct Model Predictive Power Control (R-MPDPC) concept for grid-tied AFEs. Instead of one single switching...
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