Fast Solver for Implicit Continuous Set Model Predictive Control of Electric Drives
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Archivos
Fecha
2022
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Institute of Electrical and Electronics Engineers Inc.
Nombre de Curso
Licencia CC
Attribution 4.0 International
CC BY 4.0
Deed
Licencia CC
https://creativecommons.org/licenses/by/4.0/
Resumen
This paper proposes a fast and accurate solver for implicit Continuous Set Model Predictive Control for the current control loop of synchronous motor drives with input constraints, allowing for reaching the maximum voltage feasible set. The related control problem requires an iterative solver to find the optimal solution. The real-time certification of the algorithm is of paramount importance to move the technology toward industrial-scale applications. A relevant feature of the proposed solver is that the total number of operations can be computed in the worst-case scenario. Thus, the maximum computational time is known a priori. The solver is deeply illustrated, showing its feasibility for real-time applications in the microseconds range by means of experimental tests. The proposed method outperforms general-purpose algorithms in terms of computation time, while keeping the same accuracy. © 2013 IEEE.
Notas
Indexación: Scopus.
Palabras clave
Electric drives, Model predictive control (MPC), Permanent magnet synchronous motor (PMSM), Quadratic programming (QP), Synchronous reluctance motor (SyRM)
Citación
IEEE Access, Volume 10, Pages 17430 - 17440, 2022
DOI
10.1109/ACCESS.2022.3150283