Finite state model-based predictive current control with two-step horizon for four-leg NPC converters

Venkata Yaramasu, Marco Rivera, Mehdi Narimani, Bin Wu, Jose Rodriguez

Resultado de la investigación: Article

18 Citas (Scopus)

Resumen

This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.

Idioma originalEnglish
Páginas (desde-hasta)1178-1188
Número de páginas11
PublicaciónJournal of Power Electronics
Volumen14
N.º6
DOI
EstadoPublished - 2014

Huella dactilar

Electric current control
Capacitors
Cost functions
Electric potential
Controllers

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Citar esto

Yaramasu, Venkata ; Rivera, Marco ; Narimani, Mehdi ; Wu, Bin ; Rodriguez, Jose. / Finite state model-based predictive current control with two-step horizon for four-leg NPC converters. En: Journal of Power Electronics. 2014 ; Vol. 14, N.º 6. pp. 1178-1188.
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abstract = "This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.",
keywords = "Current control, DC-link capacitor voltage balancing, DC–AC power conversion, Digital control, Discrete-time signals, Distributed generation, Finite control set model predictive control, Four-leg converters, Multilevel converters",
author = "Venkata Yaramasu and Marco Rivera and Mehdi Narimani and Bin Wu and Jose Rodriguez",
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Finite state model-based predictive current control with two-step horizon for four-leg NPC converters. / Yaramasu, Venkata; Rivera, Marco; Narimani, Mehdi; Wu, Bin; Rodriguez, Jose.

En: Journal of Power Electronics, Vol. 14, N.º 6, 2014, p. 1178-1188.

Resultado de la investigación: Article

TY - JOUR

T1 - Finite state model-based predictive current control with two-step horizon for four-leg NPC converters

AU - Yaramasu, Venkata

AU - Rivera, Marco

AU - Narimani, Mehdi

AU - Wu, Bin

AU - Rodriguez, Jose

PY - 2014

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N2 - This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.

AB - This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.

KW - Current control

KW - DC-link capacitor voltage balancing

KW - DC–AC power conversion

KW - Digital control

KW - Discrete-time signals

KW - Distributed generation

KW - Finite control set model predictive control

KW - Four-leg converters

KW - Multilevel converters

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