Zafra, EduardoVázquez Pérez, SergioMárquez Alcaide, AbrahamGarcía Franquelo, LeopoldoPérez, Emilia2025-06-092025-06-092022-10Zafra, E., Vázquez Pérez, S., Márquez Alcaide, A., García Franquelo, L. y Pérez, E. (2022). Experimental Analysis of K-Best Sphere Decoding Algorithm for LPH-FCS-MPC. En 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG Kiel, Germany: Institute of Electrical and Electronics Engineers.978-1-6654-6618-9978-1-6654-6619-62329-57672329-5759https://hdl.handle.net/11441/174097Finite control set model predictive control (FCS-MPC) with long prediction horizon (LPH-FCS-MPC) is becoming a great option for the control of power conversion systems. In contrast to short prediction horizon FCS-MPC, extending the prediction horizon length renders important steady-state improvements as the harmonic distortion and/or the switching frequency can be considerably reduced, for a more efficient operation of the power converter. The main disadvantage is that practical application of these strategies is still limited due to computational costs. In this work, a recently proposed hardware K-best sphere decoding algorithm (K-best SDA) is further analyzed and verified through experiments in an uninterruptible power supply (UPS) system. The results indicate the efficiency of the algorithm, enabling longer prediction horizons and better control performance in comparison with the conventional SDA.application/pdf6 p.engDC-AC power converterpredictive controldigital controlinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/PEDG54999.2022.9923323