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

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review


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.

Originele taal-2Engels
Pagina's (van-tot)190-195
Aantal pagina's6
Nummer van het tijdschrift1
StatusGepubliceerd - 2019
Extern gepubliceerdJa
Evenement12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brazilië
Duur: 23 apr 201926 apr 2019


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