Multistep Model Predictive Control for Electrical Drives— A Fast Quadratic Programming Solution
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Fecha
2022-03
Profesor/a Guía
Facultad/escuela
Idioma
en
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Editor
MDPI
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Licencia CC
ATTRIBUTION 4.0 INTERNATIONAL
CC BY 4.0
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Licencia CC
https://creativecommons.org/licenses/by/4.0/
Resumen
Due to its merits of fast dynamic response, flexible inclusion of constraints and the ability to handle multiple control targets, model predictive control has been widely applied in the symmetry topologies, e.g., electrical drive systems. Predictive current control is penalized by the high current ripples at steady state because only one switching state is employed in every sampling period. Although the current quality can be improved at a low switching frequency by the extension of the prediction horizon, the number of searched switching states will grow exponentially. To tackle the aforementioned issue, a fast quadratic programming solver is proposed for multistep predictive current control in this article. First, the predictive current control is described as a quadratic programming problem, in which the objective function is rearranged based on the current derivatives. To avoid the exhaustive search, two vectors close to the reference derivative are preselected in every prediction horizon. Therefore, the number of searched switching states is significantly reduced. Experimental results validate that the predictive current control with a prediction horizon of 5 can achieve an excellent control performance at both steady state and transient state while the computational time is low. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Notas
Indexación: Scopus.
Palabras clave
Fast solver, Multistep, Predictive current control, Quadratic programming, Symmetry topology
Citación
Symmetry, Volume 14, Issue 3, March 2022, Article number 626
DOI
10.3390/sym14030626