Microsecond nonlinear model predictive control for DC-DC converters

Aleksandra Lekić*, Ben Hermans, Nenad Jovičić, Panagiotis Patrinos

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)


In this paper, we present a novel nonlinear model predictive control (NMPC) formulation for the transient control of a DC-DC converter. We demonstrate that a real-time implementation of the proposed NMPC scheme using the PANOC solver can be efficiently applied to control DC-DC converters in the microsecond range. Moreover, an embedded, code-generated version of PANOC can be implemented using microcontrollers or digital signal processors. The algorithm is incorporated in the transient simulator of PWM DC-DC converters, and the operation of the simulator on the boost converter's example is presented, comparing the performance of our NMPC-controller with that of a classical PID controller. The operation of the boost converter controlled using the proposed NMPC algorithm is validated experimentally.

Original languageEnglish
Pages (from-to)406-419
Number of pages14
JournalInternational Journal of Circuit Theory and Applications
Issue number3
Publication statusPublished - 1 Jan 2020


  • DC-DC power converters
  • model predictive control
  • optimal control
  • switching control systems


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