Study On Multi-ucavs Air Combat Dynamic Game Strategy Based On Uncertain Information

The unmanned combat aerial vehicle(UCAV)is the inevitable trend of modern aviation weapon equipment development,research on multi-UCAVs combat technology has on important theoretical value and practical significance to improve the survivability and operational effectiveness.At present,the application of game theory to military operations has become a hot research at home and abroad.The question of multi-UCAVs combat dynamic game information is researched in this paper.The main contents are summarized as follows:According to UAV hit probability and the target value of uncertain information,the uncertain information in multiple non combat dynamic game strategy based on human-computer.Firstly,analyzing the uncertainty of air combat situation and combat information,revenue function of multi-UCAVs dynamic game and game payoff matrix under uncertain information environment are established.Then,the dynamic expansion game is transformed into static game,according the possibility degree formula,compared the multiple intervals,interval number complementary judgment matrix is converted.Finally,mixed strategy Nash equilibrium of dynamic game in uncertain information is found by quantum particle swam optimization(PSO).Simulation shows the feasibility and effectiveness of the method.To solve the uncertainty problem in the process of air combat,put forward the non combat dynamic game strategy method based on Fuzzy payment machine.Firstly,combat dominant function is built based on fuzzy information through analyzing the uncertainty of UAVs air combat situation,the dynamic expansion game is transferred into static strategy game,and the payoff matrix of the two sides of the game is structured base on the fuzzy information;Then Nash equilibrium solution method of mixed strategy game strategy in fuzzy information is proposed base on the fuzzy structure element method and particle swarm algorithm(PSO).Finally,simulation results show the feasibility and effectiveness of the method.For multi-UAVs combat strategies both the uncertainty problem.Firstly,to analyzing the uncertainty of air combat situation and combat information,revenue function of multi-UCAVs dynamic game and game payoff matrix under uncertain information environment are established.According to the fuzzy subsets are two sides of the UAV pure strategy set,and then Nash equilibrium solution method of mixed strategy game strategy in fuzzy information is proposed.At last,the research work of this paper was summarized,the limitations of the research and prospects for future research was pointed out.