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Reliable and Effective Fault Diagnosis/Tolerance Technique Using Enhanced Distorted Current-Voltage SVPWM Method for Multilevel Inverters
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Publication Year
2024-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Transactions on Industry Applications, Vol.60, pp.608-621
Keyword
Fault detectionfault tolerancemultilevel invertersOpen Circuit FaultsSVPWM Modulation
Mesh Keyword
Circuit faultsDistorted currentsFault- tolerant systemsFaults detectionFaults diagnosisMultilevel inverterMultilevelsOpen-circuit faultSpace vector pulse width modulationSpace vector pulse-width modulation modulation
All Science Classification Codes (ASJC)
Control and Systems EngineeringIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
Abstract
Faults are a common issue affecting the reliability of power conversion systems. They can occur in any switching device of a power converter. Open circuit faults are one of the most common types of faults, and their early detection and tolerance are crucial to prevent severe effects on the system. In this article, an enhanced distorted current-voltage space vector pulse-width modulation (SVPWM) method that can effectively detect and tolerate different open circuit faults in multilevel converters is presented and illustrated. In the proposed method, changes in the output current and DC link voltage are detected first, and a specific look-up table is then generated for accurate detection of the faulty device. Subsequently, after the fault is detected, a modified SVPWM fault tolerance strategy is applied to mitigate the effects of the fault and restore the healthy operation of the system. The effectiveness of the proposed method is verified through simulation and experimental results.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33679
DOI
https://doi.org/10.1109/tia.2023.3315273
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Type
Article
Funding
This work was supported in part by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and in part by the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea under Grants 20206910100160 and 20225500000110.
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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