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Fixed-time nonsingular adaptive attitude control of spacecraft subject to actuator faults

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  • Jahanshahi, Hadi
  • Yao, Qijia
  • Alotaibi, Naif D.

Abstract

In this article, a fixed-time adaptive fault-tolerant control approach is presented for the attitude tracking of rigid spacecraft subject to inertia uncertainties, external disturbances, and actuator faults. The designed controller is developed as a combination of the fixed-time integral sliding mode control and parametric adaptation technique. The fixed-time integral sliding mode controller has no singularity problem naturally by constructing a novel integral sliding mode surface based on the bi-limit homogeneous method. Moreover, the parametric adaptation technique is incorporated to estimate the total uncertainty indirectly. Benefiting from this development, the designed controller is smooth with no obvious chattering phenomenon and does not require any information on the upper bound of the total uncertainty. The attitude and angular velocity tracking errors under the designed controller can regulate to the minor fields about zero in fixed time. A remarkable feature of the designed controller is that it is not only robust against inertia uncertainties and external disturbances, but also insensitive to multiple types of actuator faults. Finally, simulation results show the effectiveness and merits of the presented control approach.

Suggested Citation

  • Jahanshahi, Hadi & Yao, Qijia & Alotaibi, Naif D., 2024. "Fixed-time nonsingular adaptive attitude control of spacecraft subject to actuator faults," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:chsofr:v:179:y:2024:i:c:s0960077923012973
    DOI: 10.1016/j.chaos.2023.114395
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    References listed on IDEAS

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    1. Qijia Yao & Hadi Jahanshahi & Stelios Bekiros & Sanda Florentina Mihalache & Naif D. Alotaibi, 2022. "Indirect Neural-Enhanced Integral Sliding Mode Control for Finite-Time Fault-Tolerant Attitude Tracking of Spacecraft," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
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    Cited by:

    1. Zhao, Dongke & Shi, Michael & Zhang, Huiyan & Liu, Yongchao & Zhao, Ning, 2024. "Event-triggering adaptive neural network output feedback control for networked systems under false data injection attacks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).

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