Robust Predictive Control with Three-Vector Modulation Connected to the Power Grid

Angelo Lunardi, Eliomar R. Conde D., Renato M. Monaro, Darlan A. Fernandes and Alfeu J. Sguarezi Filho
Additional contact information
Angelo Lunardi: Department of Electrical and Computer Engineering, University of São Paulo, São Paulo 05508-060, Brazil
Eliomar R. Conde D.: The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09.210-170, Brazil
Renato M. Monaro: Department of Electrical and Computer Engineering, University of São Paulo, São Paulo 05508-060, Brazil
Darlan A. Fernandes: Department of Electrical Engineering, Federal University of Paraíba, João Pessoa 58059900, Brazil
Alfeu J. Sguarezi Filho: The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09.210-170, Brazil

Energies, 2022, vol. 15, issue 6, 1-15

Abstract: Robust predictive control is presented in this article using a three-vector modulation for a grid-connected three-phase inverter. The aims of this article are proposing a robust controller that is able to deal with some variations of parameters that occur in practical systems and demonstrating the performance of the controller with experimental tests that change the inductance and consequently the parasitic resistance of the plant; the same controller can predictive the changes to obtain the optimal performance. The article also presents mathematical modeling for plants and controllers and a modulation method to solve the variable frequency problem. Experimental tests corroborate the expected results and validate the controller’s efficiency according to the control system analysis requirements and the IEEE 1547.2-2008 standard.

Keywords: robust control; grid current control; inverter connected to the grid; control system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/6/1979/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/6/1979/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:6:p:1979-:d:766921

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().