Penetration game strategy of high dynamic vehicles with constraints of No-fly zones and interceptors

This study investigates the penetration game strategy of the high dynamic vehicle against high-velocity interceptors in environments with multiple static no-fly zones. The primary issue addressed is the deficiency in control precision and the inadequacy of control margin under conditions of complex multi-constraint coupling. Firstly, an enhanced artificial potential field method is devised for the lateral penetration guidance strategy of high dynamic vehicles, which includes a predictive repulsion potential field, a buffer zone and new potential field functions. This approach not only averts trajectory oscillations caused by heading judgment ambiguity in the tangent direction of the obstacle area, but also significantly mitigates the inherent conflict between obstacle avoidance and target reachability. Secondly, considering the potential failure of the lateral penetration guidance strategy due to the high-velocity maneuvering of interceptors and detection sensor errors of the high dynamic vehicle, this paper initially designs a Kalman filter to denoise the detection information and provide a single-step optimal estimate. Subsequently, a multi-step state predictor based on the Transformer network is proposed, which obtains its future multi-step early warning information from the denoised detection historical data and refines it based on three-dimensional geometry knowledge. Then, the combination of the filtered estimate and the refined early warning information substantially enhances the success rate of the high dynamic vehicle in game confrontations with the high-velocity interceptors. Lastly, the numerical simulations are conducted to verify the effectiveness and performance of the penetration game guidance strategy.