Ventorim Comarella, BrenoCarletti, DanielYahyaoui, ImeneFrizera Encarnação 1, Lucas2023-12-272023-12-272023-03-21Comarella, B. V., Carletti, D., Yahyaoui, I., & Encarnação, L. F. (2023). Theoretical and Experimental Comparative Analysis of Finite Control Set Model Predictive Control Strategies. Electronics, 12(6), 1482.EISSN 2079-9292https://hdl.handle.net/10115/27999This research was funded by the National Council for Scientific and Technological Development—CNPq (grant numbers 409024/2021-0 and 311848/2021-4) and the Espírito Santo Research and Innovation Support Foundation—FAPES (grant numbers 514/2021, 668/2022, and 1024/2022). Yahyaoui is funded by the PROEMRED Project, M3010, financed by the University of Rey Juan Carlos, Spain.This research paper studies and highlights the features of the most popular finite control set model predictive control (FCS-MPC) strategies available in the state of the art, which are the optimal switching vector (OSV-MPC), modulated model predictive control (M2PC), and optimal switching sequence (OSS-MPC) methods. Thus, these strategies are studied experimentally by analyzing the transient and steady state performance using a grid tie conventional three-phase two-level voltage source inverter (VSI) with inductive output filter in a Typhoon HIL real-time simulator (RTS) with a Texas Instruments F28379D digital signal processor (DSP). Hence, quantitative indicators, such as the maximum tracking error, the mean absolute error, the settling time, the total harmonic distortion, the switching frequency spectrum, the switching pattern, and the computational burden are compared with the aim to deduce the best strategy for each criteria.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Finite control set model predictive controloptimal switching vectormodulated model predictive controloptimal switching sequencecomparative analysisinfo:eu-repo/semantics/article10.3390/electronics12061482info:eu-repo/semantics/embargoedAccess