Model Predictive Control with Stability Guarantee for Second-Order DC/DC Converters

Alejandro Garces-Ruiz, Sebastian Riffo, Catalina Gonzalez-Castano, Carlos Restrepo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)


This paper proposes a continuous-control-set model-predictive control (CCS-MPC) designed explicitly for second-order dc/dc converters such as the boost, buck, buck-boost, and non-inverting buck-boost converters. These converters share a bilinear dynamic structure that allows designing a generalized control. In contradistinction to the conventional finite-control-set approach, the proposed control uses a pulse-width modulation that allows a continuous control set with constant switching frequency. The modulation index's saturation is considered an inequality constraint in the optimization model. The proposed control guarantees stability in the sense of Lyapunov. This property is proven by using the passive structure of these converters. Experimental results on the four converters mentioned above show the superior performance of the proposed control in terms of robustness, offset, computation time in the central processing unit and, of course, stability.

Idioma originalInglés
Páginas (desde-hasta)1-9
Número de páginas9
PublicaciónIEEE Transactions on Industrial Electronics
EstadoEn prensa - 2023

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica


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