There are three important roles in evasion conflict: pursuer, target and defender. Pursuers’ mission is to access targets; targets’ mission is to escape from pursuers’ capture; defenders’ mission is to intercept p...There are three important roles in evasion conflict: pursuer, target and defender. Pursuers’ mission is to access targets; targets’ mission is to escape from pursuers’ capture; defenders’ mission is to intercept pursuers who are potentially dangerous to targets. In this paper, a distributed online mission plan(DOMP) algorithm for pursuers is proposed based on fuzzy evaluation and Nash equilibrium. First, an integrated effectiveness evaluation model is given. Then, the details of collaborative mission planning which includes the co-optimization of task distributing, trajectory and corresponding maneuvering scheme are presented. Finally, the convergence and steadiness of DOMP are discussed with simulation results. Compared with centralized mission planning, DOMP is more robust and can greatly improve the effectiveness of pursuing. It can be applied to dynamic scenario due to its distributed architecture.展开更多
基金co-supported by the Heilongjiang Postdoctoral Scientific Research Developmental Fund (No. LBH-Q14054)the Fundamental Research Funds for the Central Universities of China (No. HEUCFD1503)
文摘There are three important roles in evasion conflict: pursuer, target and defender. Pursuers’ mission is to access targets; targets’ mission is to escape from pursuers’ capture; defenders’ mission is to intercept pursuers who are potentially dangerous to targets. In this paper, a distributed online mission plan(DOMP) algorithm for pursuers is proposed based on fuzzy evaluation and Nash equilibrium. First, an integrated effectiveness evaluation model is given. Then, the details of collaborative mission planning which includes the co-optimization of task distributing, trajectory and corresponding maneuvering scheme are presented. Finally, the convergence and steadiness of DOMP are discussed with simulation results. Compared with centralized mission planning, DOMP is more robust and can greatly improve the effectiveness of pursuing. It can be applied to dynamic scenario due to its distributed architecture.
