Robust finite‑control‑set model predictive control for voltage source inverters against LC‑filter parameter mismatch and variation

Van-Tien Le; Hong-Hee Lee

Robust finite‑control‑set model predictive control for voltage source inverters against LC‑filter parameter mismatch and variation

Van-Tien Le

Hong-Hee Lee

Vol. 22, No. 3, pp. 406-419, Mar. 2022

10.1007/s43236-021-00379-6

Model predictive control

Robust control

LC filter

Voltage source inverter (VSI)

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 FCSMPCs. 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.

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Cite this article

[IEEE Style]

V. Le and H. Lee, "Robust finite‑control‑set model predictive control for voltage source inverters against LC‑filter parameter mismatch and variation," Journal of Power Electronics, vol. 22, no. 3, pp. 406-419, 2022. DOI: 10.1007/s43236-021-00379-6.

[ACM Style]

Van-Tien Le and Hong-Hee Lee. 2022. Robust finite‑control‑set model predictive control for voltage source inverters against LC‑filter parameter mismatch and variation. Journal of Power Electronics, 22, 3, (2022), 406-419. DOI: 10.1007/s43236-021-00379-6.