Three‑phase three‑level four‑leg NPC converters with advanced model predictive control

Chan Roh; Sangshin Kwak; Seungdeog Choi

Three‑phase three‑level four‑leg NPC converters with advanced model predictive control

Chan Roh

Sangshin Kwak

Seungdeog Choi

Vol. 21, No. 10, pp. 1574-1584, Oct. 2021

10.1007/s43236-021-00283-z

Three-level four-leg inverter

Model predictive control

Preselection technique

Calculation burden

Abstract

This paper presents a computational reduction algorithm for applying model predictive control to a three-level four-leg converter. An optimal switching state is selected by only considering 7 voltage vectors located near the reference voltage vector, rather than using 81 voltage vectors in every sampling period, as in the conventional method. The sector, prism, and tetrahedron are sequentially selected using the position of the reference voltage vector. In addition, the seven voltage vectors selected in advance are the vectors constituting the selected tetrahedron. Thus, the proposed method reduces the computational cost and provides an improved model predictive control that does not affect the performance. The proposed method comprises an experimental setup of the proposed three-level four-leg converter to compare its performance with that of the conventional method.

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Cite this article

[IEEE Style]

C. Roh, S. Kwak, S. Choi, "Three‑phase three‑level four‑leg NPC converters with advanced model predictive control," Journal of Power Electronics, vol. 21, no. 10, pp. 1574-1584, 2021. DOI: 10.1007/s43236-021-00283-z.

[ACM Style]

Chan Roh, Sangshin Kwak, and Seungdeog Choi. 2021. Three‑phase three‑level four‑leg NPC converters with advanced model predictive control. Journal of Power Electronics, 21, 10, (2021), 1574-1584. DOI: 10.1007/s43236-021-00283-z.