电光与控制, 2015, 22 (4): 41, 网络出版: 2015-04-20
多无人机超视距空战博弈策略研究
On Game Strategy for Multi-UAV Beyond-Visual-Range Air Combat
无人机 超视距 态势评估 空战博弈 纳什均衡 量子粒子群算法 UAV Beyond-View-Range (BVR) situation assessment air combat game Nash equilibrium Quantum Particle Swarm Optimization (QPSO)
摘要
多无人机超视距空战决策问题是现代空战重要的研究课题,针对多无人机超视距空战博弈问题进行了研究.首先根据敌我双方作战态势参数信息,建立敌我双方对抗支付博弈模型,然后给出了基于量子粒子群算法的空战博弈混合策略纳什均衡的求解方法,最后通过仿真验证了该方法的可行性及有效性,为解决在超视距下多无人机空战策略问题提供了一种较科学的方法.
Abstract
Decision-making in multi-UAV beyond-visual-range air combat is an important research topic of modern air combat.According to the air combat situation and combat information,the revenue function of UAV air combat game and game payoff matrix under the information were established.Then,a mixed strategy Nash equilibrium method for air combat game was established based on Quantum Particle Swam Optimization (QPSO).The simulation result validates the feasibility and effectiveness of the proposed method,which supplies a scientific method for solving the problem of decision-making in beyond-visual-range air combat of UAVs.
赵明明, 李彬, 王敏立. 多无人机超视距空战博弈策略研究[J]. 电光与控制, 2015, 22(4): 41. ZHAO Ming-ming, LI Bin, WANG Min-li. On Game Strategy for Multi-UAV Beyond-Visual-Range Air Combat[J]. Electronics Optics & Control, 2015, 22(4): 41.