Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach-Reference-Cited by-同舟云学术

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Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach

Published:2023-09 Issue: Volume:144 Page:110512
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Tarczewski Tomasz,Stojic Djordje^ORCID,Szczepanski Rafal^ORCID,Niewiara Lukasz^ORCID,Grzesiak Lech M.,Hu Xiaosong

Publisher

Elsevier BV

Subject

Software

Reference54 articles.

1. A robust frequency-adaptive current control of a grid-connected inverter based on LMI-LQR under polytopic uncertainties;Bimarta;IEEE Access,2020

2. Robust current control of grid-tied inverters for renewable energy integration under non-ideal grid conditions;Huang;IEEE Trans. Sustain. Energy,2020

3. Control in Power Electronics: Selected Problems;Kazmierkowski,2002

4. Optimized design of multiresonant AC current regulators for single-phase grid-connected photovoltaic inverters;Elkayam;IEEE J. Photovolt.,2019

5. Modified multifrequency resonant current controller;Stojić;Int. Trans. Electr. Energy Syst.,2021

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1. Optimal Path Planning Algorithm with Built-In Velocity Profiling for Collaborative Robot;Sensors;2024-08-17

2. Astrophysics-based transit search optimization heuristics for parameter estimation of multi-frequency sinusoidal signals;Modern Physics Letters B;2024-04-01

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