Maneuver decision for cooperative close-range air combat based on state predicted influence diagram

A cooperative maneuver decision method for multiple unmanned aerial vehicles is proposed to address the close-range air combat problem in this article. As the perfect information of adversary is impossible to obtain, a state predicted influence diagram model is established to solve the problem of the maneuver decision in the close-range air combat. The elements are analyzed comprehensively based on the proposed model. A framework of the cooperative control system for the multi unmanned aerial vehicle is put forward, and an unscented Kalman filter model is used for belief state updating with the state prediction, which could provide an impactful information of combat state. In order to fulfill with the real-time requirement of the air combat, the moving horizon control approach is used for solving the proposed model. Experiment results indicate that the proposed method could offer a novel approach effectively and reasonably to analyze the close-range air combat. The superiority of the cooperative control strategy is demonstrated as well.