Intelligent evasion maneuvering decision method for a variable-sweep wing aircraft under dynamic game conditions

Abstract:

To address the autonomous evasion problem for variable-sweep wing aircraft in dynamic intercept environments, this paper proposes an intelligent morphing decision algorithm. This algorithm leverages dynamic morphing, primarily through real-time adjustment of the sweep angle, as the core evasion strategy.Initially, aerodynamic coefficients for the variable-sweep-angle aircraft model are fitted using the least-squares method. The influence of these aerodynamic parameters on the aircraft′s performance is then analyzed, providing the foundation for intelligent morphing decision-making. Subsequently, a dynamic game scenario is developed for a penetration mission involving the morphing aircraft and dual interceptors, incorporating practical physical constraints such as flight speed and operational area boundaries. A decision model is then designed, integrating a state space that includes aircraft status, interceptor status, and target information, with the optimization objectives of maximizing evasion effectiveness and aerodynamic performance.Finally, simulation results demonstrate that the proposed algorithm successfully achieves autonomous morphing-based evasion while maintaining high maneuverability and agility. This approach overcomes the limitations of traditional morphing strategies, which relay on offline optimization and predefined task switching, making it difficult to adapt to highly dynamic game environments.