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The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied for Mini Motion Package Electro-Hydraulic Actuator

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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

In this paper presents a sliding mode observer (SMO) method to detect and isolate the actuator faults for a linear system. A proposed SMO method for the stability of the system has been derived and explained based on the Lyapunov’s stability condition and linear matrix inequality (LMI) optimization algorithm. The constraint conditions of the switch gain for the proposed SMO to obtain the error dynamic system is asymptotically stable performed. In addition, the mathematical model is constructed for the electro-hydraulic actuator (EHA). The effectiveness of the actuator fault in the proposed SMO construction has been applied for numerical simulation of the mini motion package system (MMPs).

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Acknowledgments

This work was supported by Korea Hydro & Nuclear Power company through the project “Nuclear Innovation Center for Haeoleum Alliance”.

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Authors and Affiliations

  1. Robotics and Mechatronics Lab, Ulsan University, Ulsan, 44610, Korea

    Tan Van Nguyen & Cheolkuen Ha

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

Correspondence to Cheolkuen Ha .

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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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Van Nguyen, T., Ha, C. (2019). The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied for Mini Motion Package Electro-Hydraulic Actuator. 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_24

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  • DOI: https://doi.org/10.1007/978-3-030-26766-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26765-0

  • Online ISBN: 978-3-030-26766-7

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