An Optimized Hybrid FOPID+RMRAC Control Architecture for Grid-tied Inverters with LCL Filters

Cairo T. G. B. Oliveira; Wagner B. da Silveira; Paulo Jefferson Dias de Oliveira Evald

doi:10.18618/REP.e202609

Authors

Cairo T. G. B. Oliveira Federal University of Pelotas https://orcid.org/0009-0003-7224-1321
Wagner B. da Silveira Federal University of Santa Maria https://orcid.org/0009-0006-3694-024X
Paulo Jefferson Dias de Oliveira Evald Federal University of Pelotas https://orcid.org/0000-0002-5383-053X

DOI:

https://doi.org/10.18618/REP.e202609

Keywords:

Adaptive control, Current controller, Metaheuristic optimization, VSI

Abstract

This paper presents a novel hybrid control architecture for grid-tied inverters with an LCL filter, combining a fractional-order proportional-integral-derivative controller, dedicated to reference tracking, and a robust model reference adaptive controller, employed for active rejection of grid disturbances. A systematic tuning procedure using the puma optimizer is provided to tune all eleven parameters of the composed control algorithm. Experimental results, performed on a TMS320F28335 Delfino microcontroller equipped in a laboratory prototype, corroborate the simulation findings, presenting fast current tracking and disturbance rejection, with low settling time and total harmonic distortion below the limits established by the IEEE 1547 standard, whose mean between the three-phases is 2.55% in steady state.

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Author Biographies

Cairo T. G. B. Oliveira, Federal University of Pelotas

is an Automation Engineering student from the Federal University of Pelotas (UFPel). His main research areas are power electronics control applications and meta-heuristic optimization.

Wagner B. da Silveira, Federal University of Santa Maria

received the B.Sc. and M.Sc. in Electrical Engineering at the Federal University of Santa Maria (UFSM) in 2018 and 2021, respectively. Currently, he is a Ph.D. candidate in Electrical Engineering at UFSM.

Paulo Jefferson Dias de Oliveira Evald, Federal University of Pelotas

received the B.Sc. in Automation Engineering (2016) and M.Sc. in Computer Engineering (2018), both from the Federal University of Rio Grande (FURG), and a Ph.D. in Electrical Engineering (2021) from UFSM. Since 2022, he has been a Professor at the UFPel and a member of the Intelligent Systems and Control Group (ISCG/UFPel).

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