A distributed model predictive control strategy for back-to-back converters

Luca Tarisciotti, Giovanni Lo Calzo, Alberto Gaeta, Pericle Zanchetta, Felipe Valencia, Doris Saez

Resultado de la investigación: Article

15 Citas (Scopus)

Resumen

In recent years, model predictive control (MPC) has been successfully used for the control of power electronics converters with different topologies and for different applications. MPC offers many advantages over more traditional control techniques such as the ability to avoid cascaded control loops, easy inclusion of constraint, and fast transient response. On the other hand, the controller computational burden increases exponentially with the system complexity and may result in an unfeasible realization on modern digital control boards. This paper proposes a novel distributed MPC (DMPC), which is able to achieve the same performance of the classical MPC while reducing the computational requirements of its implementation. The proposed control approach is tested on a ac/ac converter in a back-to-back configuration used for power flow management. Simulation results are provided and validated through experimental testing in several operating conditions.

Idioma originalEnglish
Número de artículo7403993
Páginas (desde-hasta)5867-5878
Número de páginas12
PublicaciónIEEE Transactions on Industrial Electronics
Volumen63
N.º9
DOI
EstadoPublished - 1 sep 2016

Huella dactilar

Model predictive control
Power electronics
Transient analysis
Topology
Controllers
Testing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Citar esto

Tarisciotti, Luca ; Lo Calzo, Giovanni ; Gaeta, Alberto ; Zanchetta, Pericle ; Valencia, Felipe ; Saez, Doris. / A distributed model predictive control strategy for back-to-back converters. En: IEEE Transactions on Industrial Electronics. 2016 ; Vol. 63, N.º 9. pp. 5867-5878.
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A distributed model predictive control strategy for back-to-back converters. / Tarisciotti, Luca; Lo Calzo, Giovanni; Gaeta, Alberto; Zanchetta, Pericle; Valencia, Felipe; Saez, Doris.

En: IEEE Transactions on Industrial Electronics, Vol. 63, N.º 9, 7403993, 01.09.2016, p. 5867-5878.

Resultado de la investigación: Article

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