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A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter

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Intelligent Computing Methodologies (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11645))

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Abstract

This paper proposes an open-switch fault tolerant strategy based on the model predictive control for a full bidirectional switches indirect matrix converter (FBS-IMC). Compared to the conventional IMC, the FBS-IMC can provide healthy current path when the open-switch fault is occurred. To keep the continuous operation, the fault tolerant strategy is developed by means of reversing the DC link voltage polarity regardless of the faulty switch location in the rectifier or inverter stages. Therefore, the proposed fault tolerant strategy can maintain the same input and output performances during the faulty condition as the normal condition. The simulation results are given to verify the effectiveness of the proposed strategy.

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Acknowledgments

This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government under Grant NRF-2018R1D1A1A09081779 and in part by the Korea Institute of Energy Technology Evaluation and Planning and the Ministry of Trade, Industry and Energy under Grant 20194030202310.

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Authors and Affiliations

  1. Graduate School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

    Van-Tien Le

  2. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

    Hong-Hee Lee

Authors
  1. Van-Tien Le
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  2. Hong-Hee Lee
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Corresponding author

Correspondence to Hong-Hee Lee .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Nanchang Institute of Technology, Nanchang, China

    Zhi-Kai Huang

  3. Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Le, VT., Lee, HH. (2019). A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter. In: Huang, DS., Huang, ZK., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2019. Lecture Notes in Computer Science(), vol 11645. Springer, Cham. https://doi.org/10.1007/978-3-030-26766-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-26766-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26765-0

  • Online ISBN: 978-3-030-26766-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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