Litcius/Paper detail

Microsecond nonlinear model predictive control for DC‐DC converters

Aleksandra Lekić, Ben Hermans, Nenad S. Jovicic, Panagiotis Patrinos

2020International Journal of Circuit Theory and Applications18 citationsDOI

Abstract

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.

Topics & Concepts

ConvertersControl theory (sociology)Model predictive controlMicrosecondNonlinear systemNonlinear modelComputer scienceControl (management)PhysicsEngineeringVoltageElectrical engineeringArtificial intelligenceAstronomyQuantum mechanicsMultilevel Inverters and ConvertersAdvanced DC-DC ConvertersAdvanced Control Systems Optimization
Microsecond nonlinear model predictive control for DC‐DC converters | Litcius