Adaptive Cooperative Game Penetration Guidance for Multiple Hypersonic Vehicles With Performance Constraints

The rapid development of the antimissile weapon systems brings new challenges to the cooperative penetration strategy solution and the guidance law design for hypersonic vehicles (HVs). This article studies the cooperative game penetration guidance problem for multiple HVs with performance constraints. A cooperative differential game model for HVs is proposed wherein a cooperative gain is incorporated to assign maneuvering ratios in different cooperative missions and the ground target is considered as a member of the interceptor swarm to be able to attack the target after penetration. Then, an improved prescribed performance adaptive dynamic programming (ADP) algorithm is developed to seek the Nash equilibrium guidance solution quickly and accurately. In order to ensure the steady-state and transient approximation performance of neural networks strictly, a prescribed performance function is introduced into the weight updating law design. Using the developed strategies, it is proven that the desired approximation performance in ADP can be achieved. Finally, a comparative simulation with a two-on-three game is conducted to verify the effectiveness of the proposed method.