Data-driven approach for current control in DC-DC boost converters

Chrystian L. Remes, Gustavo R. Gonçalves da Silva, Alex Treviso, Marcos A.J. Coelho, Lucíola Campestrini

Research output: Contribution to journalConference articleAcademicpeer-review

Abstract

This work addresses the control of the inductor current in DC-DC boost converter using a data-driven approach. Model-based approaches tend to be either conservative or complex tasks when considering intrinsic non-linearities. In that sense, data-driven solutions to the control design of such processes come in handy as they do not need a plant model and, given a sufficiently rich experiment, all information needed from the system at a given operation point is obtained from data. Even for a specific data-driven method - in this work, the Virtual Reference Feedback Tuning (VRFT) - there are different ways to implement it, which allow tuning of different controller structures. In this work, we compare and apply these approaches on the control of the inductor current in a DC-DC boost converter directly on an actual plant and show that, for this kind of plant, the VRFT approach in which the inverse of the controller is identified along with the "derivative" pole outperforms the standard one.

Original languageEnglish
Pages (from-to)190-195
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number1
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brazil
Duration: 23 Apr 201926 Apr 2019

Keywords

  • Current control
  • Data-Driven control
  • DC-DC boost converter
  • PID
  • VRFT

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