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Fault Diagnosis and Tolerant Control of Three-Level Neutral-Point Clamped Inverters in Motor Drives

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  • Kuei-Hsiang Chao

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Chen-Hou Ke

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

This paper presents an extension theory-based assessment method to perform fault diagnosis for inverters in motor driving systems. First, a three-level neutral-point clamped (NPC) inverter is created using the PSIM software package to simulate faults for any power transistor in the NPC-type inverter. Fast Fourier transformation is used to transform the line current signals in the time domain into a spectrum in the frequency domain for analysis of the corresponding spectrum of features of the inverter for faults with different power transistors. Then, the relationships between fault types and specific spectra are established as characteristics for the extension assessment method, which is then used to create a smart fault diagnosis system for inverters. Fault-tolerant control (FTC) is used here when the rated output of a faulty inverter is decreased in order to maintain balanced output in three phases by changing the framework of the transistor connection. This is performed to reinforce the reliability of the inverter. Finally, by the simulation and experimental results, the feasibility of the proposed smart fault diagnosis system is confirmed. The proposed fault diagnosis method is advantageous due to its minimal use of data and lack of a learning process, which thereby reduces the fault diagnosis time and makes the method easily used in practice. The proposed fault-tolerant control strategy allows both online and smooth switching in the wiring structure of the inverter.

Suggested Citation

  • Kuei-Hsiang Chao & Chen-Hou Ke, 2020. "Fault Diagnosis and Tolerant Control of Three-Level Neutral-Point Clamped Inverters in Motor Drives," Energies, MDPI, vol. 13(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6302-:d:453257
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    References listed on IDEAS

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    1. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
    2. Pi-Yun Chen & Kuei-Hsiang Chao & Zih-Yi Wu, 2018. "An Optimal Collocation Strategy for the Key Components of Compact Photovoltaic Power Generation Systems," Energies, MDPI, vol. 11(10), pages 1-24, September.
    3. Jun-Hyung Jung & Hyun-Keun Ku & Yung-Deug Son & Jang-Mok Kim, 2019. "Open-Switch Fault Diagnosis Algorithm and Tolerant Control Method of the Three-Phase Three-Level NPC Active Rectifier," Energies, MDPI, vol. 12(13), pages 1-17, June.
    4. Yiqi Liu & Danhua Li & Yu Jin & Qingbo Wang & Wenlong Song, 2018. "Research on Unbalance Fault-Tolerant Control Strategy of Modular Multilevel Photovoltaic Grid-Connected Inverter," Energies, MDPI, vol. 11(6), pages 1-18, May.
    5. Wei Li & Gengyin Li & Rong Zeng & Kai Ni & Yihua Hu & Huiqing Wen, 2018. "The Fault Detection, Localization, and Tolerant Operation of Modular Multilevel Converters with an Insulated Gate Bipolar Transistor (IGBT) Open Circuit Fault," Energies, MDPI, vol. 11(4), pages 1-20, April.
    6. Zhenyu He & Xiaochen Zhang & Chao Liu & Te Han, 2020. "Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model," Energies, MDPI, vol. 13(18), pages 1-20, September.
    7. Meng-Hui Wang & Mei-Ling Huang & Wei-Jhe Jiang, 2016. "Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment," Energies, MDPI, vol. 9(2), pages 1-13, February.
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    Cited by:

    1. Sajjad Ahmadi & Philippe Poure & Davood Arab Khaburi & Shahrokh Saadate, 2022. "A Real-Time Fault-Tolerant Control Approach to Ensure the Resiliency of a Self-Healing Multilevel Converter," Energies, MDPI, vol. 15(13), pages 1-16, June.
    2. Luís Caseiro & André Mendes, 2021. "Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control," Energies, MDPI, vol. 14(8), pages 1-39, April.
    3. Kuei-Hsiang Chao & Long-Yi Chang & Chih-Yao Hung, 2022. "Design and Control of Brushless DC Motor Drives for Refrigerated Cabinets," Energies, MDPI, vol. 15(9), pages 1-28, May.
    4. Tian-Hua Liu, 2021. "Design and Control of Electrical Motor Drives," Energies, MDPI, vol. 14(22), pages 1-3, November.

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