journal article·2025-05-28Open access

Open-Circuit Fault Diagnosis for T-Type Three-Level Inverter via Improved Adaptive Threshold Sliding Mode Observer

Xiaoyan Zhang, Ziyan Shang, Song Gao, Suping Zhao, Chaobo Chen, Kun Wang

Applied Sciences· Volume 15· Issue 11

Abstract

T-type three-level inverters have been extensively utilized in renewable energy generation, motor drive systems, and other power conversion applications. However, failures in semiconductor devices critically reduce the operational reliability of power conversion systems. While significant progress has been made in the diagnosis of single-switch open-circuit (OC) faults, the precise location and detection of simultaneous double-switch OC faults remain challenging. Therefore, this paper proposes a fault diagnosis method, integrating an improved adaptive sliding mode observer (IASMO) and dynamic current threshold detection. First, the IASMO is constructed through the hybrid logic dynamic model, achieving accurate and rapid estimation of phase currents. Then, integrating estimated with actual currents accomplishes the design of detection variables and adaptive thresholds. Subsequently, fault location variables are formulated to achieve accurate localization of both single-switch and double-switch faults. Finally, Simulation and experimental results demonstrate that the proposed method effectively identifies 18 types of OC faults within 75% of the current cycle, with high efficiency and robustness.
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Research context

OpenAlex topics: Multilevel Inverters and Converters · Silicon Carbide Semiconductor Technologies · HVDC Systems and Fault Protection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China

Funding

Young Talent Nurturing Program of Shaanxi Provincial Science and Technology Association · ShenZhen Undertakes Industrialization Application Projects of Major National Science and Technology project · Technology and Industry Basic Scientific Research Project of National Defense · National Natural Science Foundation of China · Scientific research project of Shaanxi Provincial Educational Committee · Key Research and Development Program of Shaanxi · The Youth Innovation Team of Shaanxi Universities

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