A composite control method for horizontal trajectory tracking of stratospheric airships based on reinforcement learning

Key Points

• The adaptive composite control method significantly improves horizontal trajectory tracking precision of stratospheric airships in uncertain wind fields.
• Simulation results show up to 30% better tracking accuracy with the proposed method compared to traditional backstepping control.
• A combination of backstepping sliding mode control and reinforcement learning ensures stability while compensating for disturbances effectively.
• The innovative weight allocation based on tracking error enables smooth switching between control strategies, enhancing robustness and adaptability.

Abstract