Properties of active rectifier with LCL filter in the selection process of the weighting factors in finite control set-MPC

Piotr Falkowski , Andrzej Sikorski , Krzysztof Kulikowski , Marek Korzeniewski

Abstract

One of the main problems of multivariable cost functions in model predictive control is the choice of weighting factors. Two finite control set model predictive control algorithms, applied to the three-phase active rectifier with an LCL filter, are described in the paper. The investigated algorithms, i.e. PCicuc and PCigicuc, implement multivariable approaches applying line (grid) current, capacitor voltage and converter current. The main problem dealt with in the paper is the choice of optimum values of the cost function weighting factors. The values of the factors calculated using the method proposed in the paper are very close to the values represented by the lowest THDi of the line current. Moreover, simulations verifying the equations used in the prediction of controlled values, i.e. line current, capacitor voltage and converter current, are presented. Both simulation and experimental results are presented to verify effectiveness of the inves.
Author Piotr Falkowski (FEE / DTEPEEPE)
Piotr Falkowski,,
- Department of Theoretical Electrotechnics, Power Electronics and Electrical Power Engineering
, Andrzej Sikorski (FEE / DTEPEEPE)
Andrzej Sikorski,,
- Department of Theoretical Electrotechnics, Power Electronics and Electrical Power Engineering
, Krzysztof Kulikowski (FEE / DTEPEEPE)
Krzysztof Kulikowski,,
- Department of Theoretical Electrotechnics, Power Electronics and Electrical Power Engineering
, Marek Korzeniewski (FEE / DTEPEEPE)
Marek Korzeniewski,,
- Department of Theoretical Electrotechnics, Power Electronics and Electrical Power Engineering
Journal seriesBulletin of the Polish Academy of Sciences, Technical Sciences, [Bulletin of the Polish Academy of Sciences: Technical Sciences], ISSN 0239-7528, e-ISSN 2300-1917, (N/A 100 pkt)
Issue year2020
Vol68
No1
Pages51-60
Publication size in sheets0.5
Keywords in Englishmodel predictive control (MPC), active front end (AFE) converters, inductive-capacitive-inductive (LCL) filter, weighting factors selection
ASJC Classification1702 Artificial Intelligence; 1705 Computer Networks and Communications; 1710 Information Systems; 2200 General Engineering; 3107 Atomic and Molecular Physics, and Optics
DOIDOI:10.24425/bpasts.2020.131836
URL http://journals.pan.pl/dlibra/publication/131836/edition/115163/content
Internal identifierROC 19-20
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa - Użycie Niekomercyjne - Bez utworów zależnych (CC-BY-NC-ND); with publication
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 02-03-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.293; WoS Impact Factor: 2018 = 1.277 (2) - 2018=1.256 (5)
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