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Fault Diagnosis and Control of a KYB MMP4 Electro-Hydraulic Actuator for LDVT Sensor Fault

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Intelligent Computing Theories and Application (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10955))

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Abstract

The electro-hydraulic actuator (EHA) has been used for the precise position and the force con-trol applications. Many controllers have been applied to EHA such as sliding mode, and fuzzy PID controllers. However, the sensor fault problem in the EHA system is difficult to solve and challengeable in controller design. The system can lead to a damage if any sensor becomes faulty. Therefore, in this paper, a fault tolerant control (FTC) of a KYB MMP4 electro-hydraulic actuator is applied based on the mathematical modeling for tracking control in the sensor fault condition. Herein, the FTC for detecting and isolating the sensor fault signal is designed using the unknown input observer (UIO). In the sensor fault case, the fault detection and isolation (FDI) generates the feedback signal to the PID controller to drive the position of the actuator. The simulation and experimentations are performed to verify the performance of the FTC.

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Author information

Authors and Affiliations

  1. Graduated Student, Department of Mechanical and Aerospace Engineering, Ulsan University, Ulsan, South Korea

    Tan Van Nguyen

  2. Department of Mechanical Engineering, University of Ulsan, Ulsan, Korea

    Cheolkeun Ha

Authors
  1. Tan Van Nguyen
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  2. Cheolkeun Ha
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Corresponding author

Correspondence to Cheolkeun Ha .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Wuhan University of Science and Technology, Wuhan City, China

    Xiao-Long Zhang

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Van Nguyen, T., Ha, C. (2018). Fault Diagnosis and Control of a KYB MMP4 Electro-Hydraulic Actuator for LDVT Sensor Fault. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-95933-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95932-0

  • Online ISBN: 978-3-319-95933-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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