<p>This paper investigates the prescribed performance control (PPC) issues for aircraft attitude systems subject to actuator failures and saturation. To enhance the adaptability of the existing PPC schemes, a dynamic predefined-time prescribed performance function is proposed by integrating the dynamics of desired trajectories and specific time constants. This approach eliminates the singularity problem through its capability for dynamic readjustment. Furthermore, to further constrain the convergence time of the system, a flexible predefined-time scheme is developed. Considering the presence of actuator failures and saturation, a logical model transformation is employed to consolidate the negative influences into two estimable variables. Subsequently, an adaptive scheme based on a projection operator is established to achieve high-precision estimation while minimizing drift and overestimation. By leveraging Lyapunov theory, it is rigorously proven that the closed-loop system achieves predefined-time prescribed performance stability. Finally, a series of numerical simulation experiments are conducted to validate and evaluate the effectiveness and superiority of the proposed scheme.</p>

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Design of adaptive predefined-time prescribed performance control schemes for aircraft attitude systems with actuator failures and saturation

  • Xiaodong Wang,
  • Mingze Wang,
  • Shenmin Song,
  • Xiaoping Shi

摘要

This paper investigates the prescribed performance control (PPC) issues for aircraft attitude systems subject to actuator failures and saturation. To enhance the adaptability of the existing PPC schemes, a dynamic predefined-time prescribed performance function is proposed by integrating the dynamics of desired trajectories and specific time constants. This approach eliminates the singularity problem through its capability for dynamic readjustment. Furthermore, to further constrain the convergence time of the system, a flexible predefined-time scheme is developed. Considering the presence of actuator failures and saturation, a logical model transformation is employed to consolidate the negative influences into two estimable variables. Subsequently, an adaptive scheme based on a projection operator is established to achieve high-precision estimation while minimizing drift and overestimation. By leveraging Lyapunov theory, it is rigorously proven that the closed-loop system achieves predefined-time prescribed performance stability. Finally, a series of numerical simulation experiments are conducted to validate and evaluate the effectiveness and superiority of the proposed scheme.