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Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance

Author

Listed:
  • Ashkan Taherkhani

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran)

  • Farhad Bayat

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45371-38791, Iran)

  • Kaveh Hooshmandi

    (Department of Electrical Engineering, Arak University of Technology, Arak 38181-46763, Iran)

  • Andrzej Bartoszewicz

    (Institute of Automatic Control, Lodz University of Technology, 90924 Lodz, Poland)

Abstract

In this paper, a generalized sliding mode observer design method is proposed for the robust reconstruction of sensors and actuators faults in the presence of both unknown disturbances and uncertainties. For this purpose, the effect of uncertainty and disturbance on the system has been considered in generalized state-space form, and the LMI tool is combined with the concept of an equivalent output error injection method to reduce the effects of them on the reconstruction process. The upper bound of the disturbance and uncertainty are minimized in the design of the sliding motion so that the reconstruction of the faults will be minimized. The design method is applied for actuator faults in the generalized state-space form, and then with some suitable filtering, the method extends as sensors and actuators coincidentally faults. Since in the proposed approach, the state trajectories do not leave the sliding manifold even in simultaneous sensors and actuators faults, then the faults are reconstructed based upon information retrieved from the equivalent output error injection signal. Due to the importance of the robust fault reconstruction in the wind energy conversion system (WECS), the proposed approach is successfully applied to a 5 MW wind turbine system. The simulation results verify the robust performances of the proposed approach in the presence of unknown perturbations and uncertainties.

Suggested Citation

  • Ashkan Taherkhani & Farhad Bayat & Kaveh Hooshmandi & Andrzej Bartoszewicz, 2022. "Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance," Energies, MDPI, vol. 15(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1411-:d:749908
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    References listed on IDEAS

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    1. J. Guzman & F.-R. López-Estrada & V. Estrada-Manzo & G. Valencia-Palomo, 2021. "Actuator fault estimation based on a proportional-integral observer with nonquadratic Lyapunov functions," International Journal of Systems Science, Taylor & Francis Journals, vol. 52(9), pages 1938-1951, July.
    2. Yang, Chunzhen & Liu, Jingquan & Zeng, Yuyun & Xie, Guangyao, 2019. "Real-time condition monitoring and fault detection of components based on machine-learning reconstruction model," Renewable Energy, Elsevier, vol. 133(C), pages 433-441.
    3. Tan Van Nguyen & Cheolkeun Ha, 2019. "Experimental Study of Sensor Fault-Tolerant Control for an Electro-Hydraulic Actuator Based on a Robust Nonlinear Observer," Energies, MDPI, vol. 12(22), pages 1-22, November.
    4. Guodong You & Tao Xu & Honglin Su & Xiaoxin Hou & Jisheng Li, 2019. "Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    5. Qinyue Zhu & Zhaoyang Li & Xitang Tan & Dabo Xie & Wei Dai, 2019. "Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer," Energies, MDPI, vol. 12(9), pages 1-20, May.
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