This study proposes an adaptive predefined-time control framework to ensure stable trajectory tracking for reusable launch vehicles (RLVs) subject to total statics constraints, input saturation, and unknown disturbances. The proposed control law integrates an adaptive predefined-time estimation technique with a tan-type barrier Lyapunov function (BLF) to simultaneously address uncertain disturbances and enforce state constraints. Additionally, a predefined-time anti-saturation compensator is designed to mitigate saturation effects. Numerical simulations validate the effectiveness and robustness of the proposed scheme.

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Adaptive Predefined-Time Attitude Tracking Control in Reentry Phase for Reusable Launch Vehicle

  • Dongzi Guo,
  • Lifu Du,
  • Naigang Cui,
  • Guanchen Su,
  • Mingye Yu,
  • Yuhao Zhang

摘要

This study proposes an adaptive predefined-time control framework to ensure stable trajectory tracking for reusable launch vehicles (RLVs) subject to total statics constraints, input saturation, and unknown disturbances. The proposed control law integrates an adaptive predefined-time estimation technique with a tan-type barrier Lyapunov function (BLF) to simultaneously address uncertain disturbances and enforce state constraints. Additionally, a predefined-time anti-saturation compensator is designed to mitigate saturation effects. Numerical simulations validate the effectiveness and robustness of the proposed scheme.