TY - GEN
T1 - Model Predictive Control with Switching Frequency Minimization for Modified Packed U-cell Inverter
AU - Harbi, Ibrahim
AU - Abdelrahem, Mohamed
AU - Ahmed, Mostafa
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/2
Y1 - 2020/11/2
N2 - In this paper, a finite control set model predictive control (FCS-MPC) for single-phase cascaded modified packed U-cell (MPUC) inverter is presented. The considered multilevel inverter (MLI) topology requires less number of switches and produces more levels in the output waveform compared to the conventional and recent ones. Two control objectives are achieved in the proposed control algorithm, reference current tracking and switching frequency minimization. The proposed FCS-MPC considers only the effective different vectors of the MPUC with eliminating the redundant states of the converter to reduce the computational effort of the algorithm. By minimizing a user-defined cost function, the developed FCS-MPC algorithm achieves low mean absolute reference tracking error of the grid current, high inverter voltage quality and low average switching frequency of the switches. The trade-off between the average switching frequency and the tracking performance with the voltage quality is studied to determine the suitable range of the weighting factor λn for the proposed system. Simulation results are presented using MATLAB/Simulink to verify the effectiveness of the control system.
AB - In this paper, a finite control set model predictive control (FCS-MPC) for single-phase cascaded modified packed U-cell (MPUC) inverter is presented. The considered multilevel inverter (MLI) topology requires less number of switches and produces more levels in the output waveform compared to the conventional and recent ones. Two control objectives are achieved in the proposed control algorithm, reference current tracking and switching frequency minimization. The proposed FCS-MPC considers only the effective different vectors of the MPUC with eliminating the redundant states of the converter to reduce the computational effort of the algorithm. By minimizing a user-defined cost function, the developed FCS-MPC algorithm achieves low mean absolute reference tracking error of the grid current, high inverter voltage quality and low average switching frequency of the switches. The trade-off between the average switching frequency and the tracking performance with the voltage quality is studied to determine the suitable range of the weighting factor λn for the proposed system. Simulation results are presented using MATLAB/Simulink to verify the effectiveness of the control system.
KW - computational burden
KW - current control
KW - model predictive control
KW - multilevel inverter
KW - switching frequency
KW - voltage quality
UR - http://www.scopus.com/inward/record.url?scp=85100886898&partnerID=8YFLogxK
U2 - 10.1109/eGRID48559.2020.9330665
DO - 10.1109/eGRID48559.2020.9330665
M3 - Conference contribution
AN - SCOPUS:85100886898
T3 - 2020 5th IEEE Workshop on the Electronic Grid, eGRID 2020
BT - 2020 5th IEEE Workshop on the Electronic Grid, eGRID 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Workshop on the Electronic Grid, eGRID 2020
Y2 - 2 November 2020 through 4 November 2020
ER -