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Observer-Based Robust Fault Predictive Control for Wind Turbine Time-Delay Systems with Sensor and Actuator Faults

Author

Listed:
  • Sofiane Bououden

    (Laboratory of SATIT, Department of Industrial Engineering, Abbes Laghrour University, Khenchela 40004, Algeria)

  • Fouad Allouani

    (Laboratory of SATIT, Department of Industrial Engineering, Abbes Laghrour University, Khenchela 40004, Algeria)

  • Abdelaziz Abboudi

    (Department of Mechanical Engineering, Faculty of Sciences and Technology, Abbes Laghrour University, Khenchela 40004, Algeria)

  • Mohammed Chadli

    (IBISC, Université Paris-Saclay, Univ Evry, Val d’Essonne, 91020 Evry, France)

  • Ilyes Boulkaibet

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

  • Zaher Al Barakeh

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

  • Bilel Neji

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

  • Raymond Ghandour

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

Abstract

This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults, and external disturbances. The proposed approach is based on an augmented state-space representation that contains state-space variables and estimation errors. The proposed augmented representation is then used to synthesize a robust predictive controller. In addition, an observer is developed and used to estimate both state variables and actuator/sensor faults. To ensure that the proposed approach has disturbance rejection capabilities, the disturbance estimates were merged with the prediction model. In addition, the disturbance rejection capabilities and fault tolerance were insured by formulating the control process as an optimization problem subject to constraints in terms of linear matrix inequalities (LMIs). As a result, the controller gains are acquired by solving an LMI problem to guarantee input-to-state stability in the presence of sensor and actuator faults. A simulation example is conducted on a nonlinear wind turbine (1 MW) model with 3 blades, a horizontal axis, and upwind variable speed subject to actuator/sensor faults in the pitch system. The results demonstrate the ability of the proposed method in dealing with nonlinear systems subject to external disturbances and keeping the control performance acceptable in the presence of actuator/sensor faults.

Suggested Citation

  • Sofiane Bououden & Fouad Allouani & Abdelaziz Abboudi & Mohammed Chadli & Ilyes Boulkaibet & Zaher Al Barakeh & Bilel Neji & Raymond Ghandour, 2023. "Observer-Based Robust Fault Predictive Control for Wind Turbine Time-Delay Systems with Sensor and Actuator Faults," Energies, MDPI, vol. 16(2), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:858-:d:1032854
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    References listed on IDEAS

    as
    1. Cho, Seongpil & Gao, Zhen & Moan, Torgeir, 2018. "Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 306-321.
    2. Yang, Bo & Yu, Tao & Shu, Hongchun & Zhang, Yuming & Chen, Jian & Sang, Yiyan & Jiang, Lin, 2018. "Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine," Renewable Energy, Elsevier, vol. 119(C), pages 577-589.
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    Cited by:

    1. Omar Hazil & Fouad Allouani & Sofiane Bououden & Mohammed Chadli & Mohamed Chemachema & Ilyes Boulkaibet & Bilel Neji, 2023. "A Robust Model Predictive Control for a Photovoltaic Pumping System Subject to Actuator Saturation Nonlinearity," Sustainability, MDPI, vol. 15(5), pages 1-26, March.

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