Model-Free Adaptive Synergetic Control to Improve Robustness and Transient Performance of Grid-Tied Inverters

For high-quality grid connections in distributed generation, the robustness and transient performance of grid-tied inverters (GTI) under various operating conditions are crucial. This article presents a novel model-free adaptive synergetic control (MFASC) approach, which can significantly improve the robustness and transient performance of GTI. To enhance the robustness and adaptability of GTI, and to avoid the effects of unmodeled dynamics, a compact form dynamic linearization model based on the system input/output information is established. Subsequently, in order to improve the response speed, a synergetic control law is designed by utilizing the rapid convergence of differential equations. To further enhance the dynamic performance, an overshoot suppression strategy is designed to suppress the dynamic overshoot through ensuring Lipschitz condition, and a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i>-factor adaptive law is designed to adjust the response speed and system oscillation by dynamically changing the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> parameter of the MFASC. Finally, the MFASC method is applied to the current control of GTI, and the validity is verified through simulation and experiment.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-06-24
DOI
https://doi.org/10.1109/tii.2025.3576865
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model-Free Adaptive Synergetic Control to Improve Robustness and Transient Performance of Grid-Tied Inverters

Guanguan Zhang, Yaopeng Huang, Alian Chen, Xueliang Li et al.
IEEE Transactions on Industrial Informatics
Microgrid Control and Optimization
article

Model-Free Adaptive Synergetic Control to Improve Robustness and Transient Performance of Grid-Tied Inverters

Guanguan Zhang, Yaopeng Huang, Alian Chen, Xueliang Li, Tong Liu, Hang Zhang, Cheng Cheng, Yong Li
article en

Abstract

For high-quality grid connections in distributed generation, the robustness and transient performance of grid-tied inverters (GTI) under various operating conditions are crucial. This article presents a novel model-free adaptive synergetic control (MFASC) approach, which can significantly improve the robustness and transient performance of GTI. To enhance the robustness and adaptability of GTI, and to avoid the effects of unmodeled dynamics, a compact form dynamic linearization model based on the system input/output information is established. Subsequently, in order to improve the response speed, a synergetic control law is designed by utilizing the rapid convergence of differential equations. To further enhance the dynamic performance, an overshoot suppression strategy is designed to suppress the dynamic overshoot through ensuring Lipschitz condition, and a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i>-factor adaptive law is designed to adjust the response speed and system oscillation by dynamically changing the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> parameter of the MFASC. Finally, the MFASC method is applied to the current control of GTI, and the validity is verified through simulation and experiment.

IEEE Transactions on Industrial InformaticsVol. 21(10)
Shandong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 84%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.