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<p>This paper investigates the issue of attitude control for a nanosatellite encountering multiple actuator failures and unknown environmental disturbances, which could lead to the mission failure. To overcome this eventuality, a passive control design named Composite Sliding Mode Fault Tolerant Control (CSMFTC) was developed. This method is reinforced by the integration of proportional and derivative terms in the sliding mode control technique. In addition, an adaptation law is employed, taking into consideration an estimation of faults, which makes it possible to evaluate and compensate for the effects of all unknown failures. This guarantees the global asymptotic convergence of the failing attitude system, as proven by the Lyapunov theory. Furthermore, the optimization of the CSMFTC parameters was solved using a metaheuristic algorithm, which is Equilibrium Optimization (EO). Finally, A comparative study with classical and robust controllers is performed through numerical simulations in order to validate the effectiveness of the adopted controller.</p>

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Fault Tolerant Attitude Control for Nanosatellite under Unknown Environmental Disturbances and Actuator Faults

  • 期刊论文

  • 发表日期：

    2025年3月4日

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  • Akram Adnane,
  • Boualem Nasri,
  • Rima Roubache,
  • Elhassen Benfriha,
  • Lotfi Mostefai,
  • Djamel Eddine Baba Hamed,
  • Abdelhamid Ghoul,
  • Mohammed Arezki Si Mohammed

摘要

This paper investigates the issue of attitude control for a nanosatellite encountering multiple actuator failures and unknown environmental disturbances, which could lead to the mission failure. To overcome this eventuality, a passive control design named Composite Sliding Mode Fault Tolerant Control (CSMFTC) was developed. This method is reinforced by the integration of proportional and derivative terms in the sliding mode control technique. In addition, an adaptation law is employed, taking into consideration an estimation of faults, which makes it possible to evaluate and compensate for the effects of all unknown failures. This guarantees the global asymptotic convergence of the failing attitude system, as proven by the Lyapunov theory. Furthermore, the optimization of the CSMFTC parameters was solved using a metaheuristic algorithm, which is Equilibrium Optimization (EO). Finally, A comparative study with classical and robust controllers is performed through numerical simulations in order to validate the effectiveness of the adopted controller.