Article, 2023

Prediction Window Selection in FCS-MPC for Two-Level VSI Applications

IEEE Transactions on Power Electronics, ISSN 1941-0107, 0885-8993, Volume 39, 3, Pages 3135-3143, 10.1109/tpel.2023.3342822

Contributors

Zafra, Eduardo 0000-0002-5866-0920 (Corresponding author) [1] Vazquez, Sergio 0000-0002-7438-8904 [1] Dragicevic, Tomislav 0000-0003-4755-2024 [2] Alcaide, Abraham Marquez 0000-0003-1647-7527 [1] Leon, Jose Ignacio 0000-0001-5760-8066 [1] Franquelo, Leopoldo Garcia 0000-0002-1976-9747 [1]

Affiliations

  1. [1] University of Seville
  2. [NORA names: Spain; Europe, EU; OECD];
  3. [2] Technical University of Denmark
  4. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Semiconductors in power converters are operated in switched-mode. For a given sampling frequency, a digital controller computes the next actuation according to several objectives. Typically one desires to regulate current or voltage values with minimal error and harmonic distortion. Higher switching frequency of the semiconductor is helpful as the granularity of the problem is improved and the harmonic spectrum is shifted toward high-order harmonics that are easier to filter with passive elements. However, the switching losses increase. Finite control set model predictive control (FCS-MPC) is proven to be an excellent control method with a great ability to maximize harmonic quality in terms of the switching frequency, particularly when the controller is configured to consider long prediction horizons. Nonetheless, in order to avoid computational overruns, the prediction horizon and the sampling frequency cannot be indefinitely increased. In this article, the tradeoff between these two parameters is studied, providing guidelines on FCS-MPC tuning for different configurations.

Keywords

FCS-MPC, actuator, applications, article, configuration, control, converter, desire, digital controller, distortion, elements, error, finite control set model predictive control, frequency, granularity, guidelines, harmonic distortion, harmonic quality, harmonic spectrum, harmonics, high-order harmonics, higher switching frequencies, horizon, loss, minimal error, model predictive control, objective, overruns, parameters, passive elements, power, power converters, prediction, prediction horizon, predictive control, problem, quality, samples, sampling frequency, selection, semiconductor, spectra, switched-mode, switching, switching frequency, switching losses, tradeoff, two-level, values, voltage, voltage values, window selection

Funders

  • European Commission

Data Provider: Digital Science