Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters

Zhuang Kang; Xiaoning Shen; Yijie Wang; Guangxin Liu; Jianxing Liu; Sergio Vazquez

doi:10.1109/IECON58223.2025.11221346

Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters

Zhuang Kang
, Xiaoning Shen^*
, Yijie Wang
, Guangxin Liu
, Jianxing Liu^*
, Sergio Vazquez

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology
School of Electrical Engineering and Automation, Harbin Institute of Technology
University of Seville

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an improved generalized super-twisting control (IGSTC) scheme for neutral-point-clamped (NPC) converters subject to the line-inductance parameter uncertainties. By optimizing the algorithm structure, the proposed method accelerates transient response. An online fixed-time inductance estimation algorithm is integrated into the current-tracking loop, significantly enhancing the system's robustness against inductance variations. Through Lyapunov-based analysis, the practical finite-time stability of the IGSTC and the practical fixed-time convergence of the identification algorithm are rigorously established. Finally, comprehensive simulations under both nominal and varying inductance scenarios validate that the superior performance of the proposed strategy.

Original language	English
Title of host publication	IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9798331596811
DOIs	https://doi.org/10.1109/IECON58223.2025.11221346
State	Published - 2025
Event	51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 - Madrid, Spain Duration: 14 Oct 2025 → 17 Oct 2025

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Country/Territory	Spain
City	Madrid
Period	14/10/25 → 17/10/25

Keywords

Inductance identification
finite-time control
fixed-time stability
power converter
super-twisting algorithm

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10.1109/IECON58223.2025.11221346

Cite this

Kang, Z., Shen, X., Wang, Y., Liu, G., Liu, J., & Vazquez, S. (2025). Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters. In IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON58223.2025.11221346

@inproceedings{7e59757ff91d42b480a704cd360b31cd,

title = "Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters",

abstract = "This paper presents an improved generalized super-twisting control (IGSTC) scheme for neutral-point-clamped (NPC) converters subject to the line-inductance parameter uncertainties. By optimizing the algorithm structure, the proposed method accelerates transient response. An online fixed-time inductance estimation algorithm is integrated into the current-tracking loop, significantly enhancing the system's robustness against inductance variations. Through Lyapunov-based analysis, the practical finite-time stability of the IGSTC and the practical fixed-time convergence of the identification algorithm are rigorously established. Finally, comprehensive simulations under both nominal and varying inductance scenarios validate that the superior performance of the proposed strategy.",

keywords = "Inductance identification, finite-time control, fixed-time stability, power converter, super-twisting algorithm",

author = "Zhuang Kang and Xiaoning Shen and Yijie Wang and Guangxin Liu and Jianxing Liu and Sergio Vazquez",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 ; Conference date: 14-10-2025 Through 17-10-2025",

year = "2025",

doi = "10.1109/IECON58223.2025.11221346",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society",

address = "美国",

}

Kang, Z, Shen, X, Wang, Y, Liu, G, Liu, J & Vazquez, S 2025, Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters. in IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025, Madrid, Spain, 14/10/25. https://doi.org/10.1109/IECON58223.2025.11221346

Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters. / Kang, Zhuang; Shen, Xiaoning; Wang, Yijie et al.
IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2025. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters

AU - Kang, Zhuang

AU - Shen, Xiaoning

AU - Wang, Yijie

AU - Liu, Guangxin

AU - Liu, Jianxing

AU - Vazquez, Sergio

PY - 2025

Y1 - 2025

N2 - This paper presents an improved generalized super-twisting control (IGSTC) scheme for neutral-point-clamped (NPC) converters subject to the line-inductance parameter uncertainties. By optimizing the algorithm structure, the proposed method accelerates transient response. An online fixed-time inductance estimation algorithm is integrated into the current-tracking loop, significantly enhancing the system's robustness against inductance variations. Through Lyapunov-based analysis, the practical finite-time stability of the IGSTC and the practical fixed-time convergence of the identification algorithm are rigorously established. Finally, comprehensive simulations under both nominal and varying inductance scenarios validate that the superior performance of the proposed strategy.

AB - This paper presents an improved generalized super-twisting control (IGSTC) scheme for neutral-point-clamped (NPC) converters subject to the line-inductance parameter uncertainties. By optimizing the algorithm structure, the proposed method accelerates transient response. An online fixed-time inductance estimation algorithm is integrated into the current-tracking loop, significantly enhancing the system's robustness against inductance variations. Through Lyapunov-based analysis, the practical finite-time stability of the IGSTC and the practical fixed-time convergence of the identification algorithm are rigorously established. Finally, comprehensive simulations under both nominal and varying inductance scenarios validate that the superior performance of the proposed strategy.

KW - Inductance identification

KW - finite-time control

KW - fixed-time stability

KW - power converter

KW - super-twisting algorithm

UR - https://www.scopus.com/pages/publications/105024724412

U2 - 10.1109/IECON58223.2025.11221346

DO - 10.1109/IECON58223.2025.11221346

M3 - 会议稿件

AN - SCOPUS:105024724412

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025

Y2 - 14 October 2025 through 17 October 2025

ER -

Inductance Parameter Online Identification-Based Super-Twisting Control of NPC Converters

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