Affiliation:
1. Department of Electrical Engineering, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, Vitória 29075-910, Brazil
2. Department of Applied Mathematics, Materials Science and Engineering and Electronic Technology, Superior School of Experimental Sciences and Technology-ESCET, University Rey Juan Carlos, 28933 Madrid, Spain
Abstract
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.
Funder
University of Rey Juan Carlos
National Council for Scientific and Technological Development—CNPq
Espírito Santo Research and Innovation Support Foundation—FAPES
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Cited by
6 articles.
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