Premium
Microsecond nonlinear model predictive control for DC‐DC converters
Author(s) -
Lekić Aleksandra,
Hermans Ben,
Jovičić Nenad,
Patrinos Panagiotis
Publication year - 2020
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2737
Subject(s) - converters , control theory (sociology) , model predictive control , microsecond , nonlinear system , nonlinear model , computer science , control (management) , physics , engineering , voltage , electrical engineering , artificial intelligence , quantum mechanics , astronomy
Summary 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.