@inproceedings{5c19b50ba7dd40e4afd7c7962893f395,
title = "High-speed direct model predictive control for power electronics",
abstract = "Common approaches for direct model predictive control (MPC) for current reference tracking in power electronics suffer from the high computational complexity encountered when solving integer optimal control problems over long prediction horizons. We propose an efficient alternative method based on approximate dynamic programming, greatly reducing the computational burden and enabling sampling times under 25μs. Our approach is based on the offline minimization of an infinite horizon cost function estimate which is then applied to the tail cost of the MPC problem. This allows us to reduce the controller horizon to a very small number of stages improving overall controller performance. Our proposed algorithm is validated on a variable speed drive system with a three-level voltage source converter.",
author = "Bartolomeo Stellato and Goulart, {Paul J.}",
year = "2017",
month = jan,
day = "6",
doi = "10.1109/ECC.2016.7810275",
language = "English (US)",
series = "2016 European Control Conference, ECC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "129--134",
booktitle = "2016 European Control Conference, ECC 2016",
address = "United States",
note = "2016 European Control Conference, ECC 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
}