@inproceedings{d397d0e5cfbc42958b02e50fa81a0937,
title = "Modulated Model Predictive Current Control of a Four-Leg Inverter",
abstract = "A novel modulated model predictive current control for a two-level four-leg voltage source inverter is proposed in this paper. The proposed scheme is designed by combining the operating principles of traditional predictive control with the three-dimensional space vector modulation to enhance the output power quality, while producing fixed switching frequency operation and fast dynamic response for the four-leg inverter. In contrast to the classical predictive control which applies the switching state corresponding to optimal cost function, the proposed controller uses three active vectors and a zero vector to optimize the cost function. Finally, the switching states for four-leg inverter are produced by a modulation stage containing nine-segment switching pattern similar to the classical three-dimensional space vector modulation. The proposed control scheme is validated through simulations considering three-phase unbalanced reference currents and loads.",
keywords = "current control, DC/AC power conversion, digital control, four-leg inverter, modulated model predictive control, space vector modulation",
author = "Venkata Yaramasu and Kristiyan Milev and Apparao Dekka and Marco Rivera and Jose Rodriguez and Felix Rojas",
year = "2020",
month = feb,
doi = "10.1109/PEDSTC49159.2020.9088499",
language = "English",
series = "2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020",
address = "United States",
note = "11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 ; Conference date: 04-02-2020 Through 06-02-2020",
}