2025-06-062025-06-062024-06Zafra, E., Vázquez Pérez, S., Geyer, T., Aguilera, R.P., Freire Macías, E. y García Franquelo, L. (2024). Computational Analysis of the Long Horizon FCS-MPC Problem for Power Converters. IEEE Transactions on Power Electronics, 39 (10), 12762-12773. https://doi.org/10.1109/TPEL.2024.3419060.0885-89931941-0107https://hdl.handle.net/11441/174029Long prediction horizon finite control set model predictive control (LPH-FCS-MPC) for power converters can be reformulated as a box-constrained integer-least squares (ILS) problem to find the optimal control action without requiring an exhaustive search. Instead, the solution can be found by means of a sphere decoding method that still presents several intricacies regarding its complexity and its variable computational cost. This article provides a study of the computational behavior of this approach. Special emphasis is placed on how the generator matrix is calculated, either as a lower or an upper triangular structure. This choice decides whether the switching sequences are explored forward- or backward-in-time during the optimization process. In this work, it is explained how this selection holds a great impact on the computational burden of the algorithm. Similarly, it is also analyzed how the tuning of the FCS-MPC and system parameters also drastically impacts the computational cost.application/pdf10engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Digital controlpredictive controlthree -phase dc-ac invertersinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1109/TPEL.2024.3419060