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Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer

Author

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  • Kyunghwan Choi

    (Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 291, Korea)

  • Kyung-Soo Kim

    (Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 291, Korea)

  • Seok-Kyoon Kim

    (Department of Creative Convergence Engineering, Hanbat National University, Daejeon 341-58, Korea)

Abstract

This study seeks an advanced sensor fault diagnosis algorithm for DC/DC boost converters governed by nonlinear dynamics with parameter and load uncertainties. The proposed algorithm is designed with a combination of proportional-type state observer and disturbance observer (DOB) without integral actions. The convergence, performance recovery and offset-free properties of the proposed algorithm are derived by analyzing the estimation error dynamics. An optimization process to assign the optimal feedback gain for the state observer is also provided. Finally, a fault diagnosis criteria is introduced to identify the location and type of sensor faults online using normalized residuals. The experimental results verify the effectiveness of the suggested technique under variable operating conditions and three types of sensor faults using a prototype 3 kW DC/DC boost converter.

Suggested Citation

  • Kyunghwan Choi & Kyung-Soo Kim & Seok-Kyoon Kim, 2019. "Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer," Energies, MDPI, vol. 12(8), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1412-:d:222202
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    References listed on IDEAS

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    2. Seok-Kyoon Kim, 2018. "Passivity-Based Robust Output Voltage Tracking Control of DC/DC Boost Converter for Wind Power Systems," Energies, MDPI, vol. 11(6), pages 1-13, June.
    3. June-Seok Lee & Kyo Beum Lee, 2013. "Variable DC-Link Voltage Algorithm with a Wide Range of Maximum Power Point Tracking for a Two-String PV System," Energies, MDPI, vol. 6(1), pages 1-21, January.
    4. 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.
    5. Li Zhai & Tao Zhang & Yu Cao & Sipeng Yang & Steven Kavuma & Huiyuan Feng, 2018. "Conducted EMI Prediction and Mitigation Strategy Based on Transfer Function for a High-Low Voltage DC-DC Converter in Electric Vehicle," Energies, MDPI, vol. 11(5), pages 1-17, April.
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    7. Van-Thuan Tran & Minh-Khai Nguyen & Youn-Ok Choi & Geum-Bae Cho, 2018. "Switched-Capacitor-Based High Boost DC-DC Converter," Energies, MDPI, vol. 11(4), pages 1-15, April.
    8. Yingning Qiu & Hongxin Jiang & Yanhui Feng & Mengnan Cao & Yong Zhao & Dan Li, 2016. "A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions," Energies, MDPI, vol. 9(7), pages 1-15, July.
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    10. Huakun Bi & Ping Wang & Zhishuang Wang, 2018. "Common Grounded H-Type Bidirectional DC-DC Converter with a Wide Voltage Conversion Ratio for a Hybrid Energy Storage System," Energies, MDPI, vol. 11(2), pages 1-22, February.
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    Cited by:

    1. Sun Lim & Seok-Kyoon Kim & Yonghun Kim, 2021. "Active Damping Injection Output Voltage Control with Dynamic Current Cut-Off Frequency for DC/DC Buck Converters," Energies, MDPI, vol. 14(20), pages 1-17, October.

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