Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Robust finite-control-set model predictive control for voltage source inverters against LC-filter parameter mismatch and variation

  • Received : 2021.09.11
  • Accepted : 2021.12.29
  • Published : 2022.03.20
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Abstract

This paper proposes a robust finite-control-set model predictive control (FCS-MPC) method for a two-level voltage source inverter (VSI) against LC-filter parameter mismatch and variation. Unlike conventional FCS-MPCs, the predictive schemes for inductor current and capacitor voltage are treated separately to avoid filter-inductance dependency. Consequently, the capacitor voltage is easily predicted from a C-filter model instead of the typical LC-filter model used in conventional FCS-MPCs. In addition, the filter capacitance is the only parameter that affects the control performance related to the LC-filter parameter mismatch. Furthermore, the control performance against LC-filter parameter mismatch is guaranteed, since the capacitance is accurately identified by means of least-squares minimization. Experimental results show that the proposed FCS-MPC achieves robustness against LC-filter parameter mismatch and high control performance when compared to the conventional FCS-MPC.

Keywords

Acknowledgement

This research was supported by Korea Electric Power Corporation (Grant number: R20XO02-33). This work was supported the NRF of Korea Grant under Grant NRF-2018R1D1A1A09081779.

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