放宽静稳定度飞行器过失速重定向控制

Traditional aircraft face limitations in off-boresight maneuverability, making it challenging to effectively meet rear hemisphere target tracking requirements. This paper proposes a proximal policy optimization (PPO) - based intelligent control method to achieve aerodynamic-controlled post-stall maneuver redirection for relaxed static stability aircraft. First, the nonlinear aerodynamic characteristics of the aircraft at extremely high angles of attack are analyzed using the Jorgensen engineering method, revealing the impact of static instability on autorotation capability and segmenting the redirection process. Second, a Markov decision process (MDP) model is established to address nonlinear attitude control under ultra-high angles of attack, incorporating a potential energy-based reward function to guide the intelligent agent in learning optimal rudder deflection strategies. Finally, redirection simulations under low Mach number conditions demonstrate that aerodynamic control surfaces alone can enable rapid aircraft redirection while maintaining attitude stability during velocity zero-crossing phases. Monte Carlo experiments further validate the robustness of this control method under random initial conditions.