Finite set model predictive control of a flying capacitor converter with a geometric computational optimization

Cristian Garcia, Margarita Norambuena, Jose Rodriguez, Mahyar Khosravi, Davood Arab Khaburi

Resultado de la investigación: Conference contribution

1 Cita (Scopus)

Resumen

The multilevel converter has many advantages, and for that reason, they are widely used in medium and high power applications. On the other hand, finite set model predictive control (FS-MPC) is presented as a suitable control strategy for multilevel converters because it can manage many control goals with a simple cost function. However, FS-MPC needs to evaluate all of the voltage vector's actuation in the power converter, and in multilevel topologies this can result in a high computational effort. This paper proposes a geometrical method based on the predictive model to reduce the number of vectors that must be evaluated when using the FS-MPC strategy. The method is validated using a four-level three-cells flying capacitor converter, that has 512 voltage vectors. In its poorest performance, the proposed method reduces the computational effort to 35% of that used to evaluate the complete case (512 voltage vectors). Simulation results are presented to validate the proposed control strategy.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-5
Número de páginas5
Volumen2018-January
ISBN (versión digital)9781509064250
DOI
EstadoPublished - 6 abr 2018
Evento2017 IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duración: 4 dic 20177 dic 2017

Conference

Conference2017 IEEE Southern Power Electronics Conference, SPEC 2017
PaísChile
CiudadPuerto Varas
Período4/12/177/12/17

Huella dactilar

Model predictive control
Capacitors
Electric potential
Power converters
Cost functions
Topology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Citar esto

Garcia, C., Norambuena, M., Rodriguez, J., Khosravi, M., & Khaburi, D. A. (2018). Finite set model predictive control of a flying capacitor converter with a geometric computational optimization. En Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017 (Vol. 2018-January, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPEC.2017.8333652
Garcia, Cristian ; Norambuena, Margarita ; Rodriguez, Jose ; Khosravi, Mahyar ; Khaburi, Davood Arab. / Finite set model predictive control of a flying capacitor converter with a geometric computational optimization. Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5
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abstract = "The multilevel converter has many advantages, and for that reason, they are widely used in medium and high power applications. On the other hand, finite set model predictive control (FS-MPC) is presented as a suitable control strategy for multilevel converters because it can manage many control goals with a simple cost function. However, FS-MPC needs to evaluate all of the voltage vector's actuation in the power converter, and in multilevel topologies this can result in a high computational effort. This paper proposes a geometrical method based on the predictive model to reduce the number of vectors that must be evaluated when using the FS-MPC strategy. The method is validated using a four-level three-cells flying capacitor converter, that has 512 voltage vectors. In its poorest performance, the proposed method reduces the computational effort to 35{\%} of that used to evaluate the complete case (512 voltage vectors). Simulation results are presented to validate the proposed control strategy.",
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Garcia, C, Norambuena, M, Rodriguez, J, Khosravi, M & Khaburi, DA 2018, Finite set model predictive control of a flying capacitor converter with a geometric computational optimization. En Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2017 IEEE Southern Power Electronics Conference, SPEC 2017, Puerto Varas, Chile, 4/12/17. https://doi.org/10.1109/SPEC.2017.8333652

Finite set model predictive control of a flying capacitor converter with a geometric computational optimization. / Garcia, Cristian; Norambuena, Margarita; Rodriguez, Jose; Khosravi, Mahyar; Khaburi, Davood Arab.

Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

Resultado de la investigación: Conference contribution

TY - GEN

T1 - Finite set model predictive control of a flying capacitor converter with a geometric computational optimization

AU - Garcia, Cristian

AU - Norambuena, Margarita

AU - Rodriguez, Jose

AU - Khosravi, Mahyar

AU - Khaburi, Davood Arab

PY - 2018/4/6

Y1 - 2018/4/6

N2 - The multilevel converter has many advantages, and for that reason, they are widely used in medium and high power applications. On the other hand, finite set model predictive control (FS-MPC) is presented as a suitable control strategy for multilevel converters because it can manage many control goals with a simple cost function. However, FS-MPC needs to evaluate all of the voltage vector's actuation in the power converter, and in multilevel topologies this can result in a high computational effort. This paper proposes a geometrical method based on the predictive model to reduce the number of vectors that must be evaluated when using the FS-MPC strategy. The method is validated using a four-level three-cells flying capacitor converter, that has 512 voltage vectors. In its poorest performance, the proposed method reduces the computational effort to 35% of that used to evaluate the complete case (512 voltage vectors). Simulation results are presented to validate the proposed control strategy.

AB - The multilevel converter has many advantages, and for that reason, they are widely used in medium and high power applications. On the other hand, finite set model predictive control (FS-MPC) is presented as a suitable control strategy for multilevel converters because it can manage many control goals with a simple cost function. However, FS-MPC needs to evaluate all of the voltage vector's actuation in the power converter, and in multilevel topologies this can result in a high computational effort. This paper proposes a geometrical method based on the predictive model to reduce the number of vectors that must be evaluated when using the FS-MPC strategy. The method is validated using a four-level three-cells flying capacitor converter, that has 512 voltage vectors. In its poorest performance, the proposed method reduces the computational effort to 35% of that used to evaluate the complete case (512 voltage vectors). Simulation results are presented to validate the proposed control strategy.

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Garcia C, Norambuena M, Rodriguez J, Khosravi M, Khaburi DA. Finite set model predictive control of a flying capacitor converter with a geometric computational optimization. En Proceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5 https://doi.org/10.1109/SPEC.2017.8333652