基于Cook-Seiford群决策算法的多机协同空战机动决策

Multi-aircraft cooperative air combat maneuvering decision based on Cook-Seiford group decision algorithm

面向多机协同空战条件下的机动决策问题,建立了三自由度战机模型,并根据空战时飞行员的实际操纵,设计出一种拓展的基本机动动作决策集。通过构造角度、速度、距离和高度优势函数建立空战态势评估模型。基于群决策理论,设计了Cook-Seiford决策算法,并首次将其应用于多机协同空战机动决策研究,有效优化了决策流程。在初始态势劣势情况下,以2对2、3对2等典型空战条件为仿真背景,将Cook-Seiford群决策算法与Copeland、Dodgson群决策算法进行对抗空战仿真。仿真结果表明,基于Cook-Seiford群决策算法的协同机动决策能够取得明显对抗优势,验证了本文设计算法的有效性,为将群决策算法用于求解多机协同空战决策提供了一种新的思路。

A three-degree-of-freedom fighter model is established to solve the maneuver decision problem in cooperative air combat,and an extended basic maneuver decision set is designed according to the pilot s actual operation in air combat.The air combat situation assessment model is established by constructing angle,velocity,distance and altitude superiority functions.Based on group decision making theory,Cook-Seiford decision making algorithm is designed and applied to the research of multi-aircraft cooperative air combat maneuver decision making for the first time,which effectively optimizes the decision flow.Under the initial situation disadvantage,Cook-Seiford group decision algorithm,Copeland and Dodgson group decision algorithm are used to simulate adversarial air combat under typical air combat conditions of 2 versus 2 and 3 versus 2.The simulation results show that the cooperative maneuver decision algorithm based on Cook-Seiford group decision algorithm can effectively obtain obvious countermeasures advantage,which verifies the effectiveness and superiority of the algorithm designed in this paper,and provides a new idea for using the group decision algorithm to solve multi-aircraft cooperative air combat decision.