航空集群是受生物集群行为启发而产生的一种全新航空作战力量体系,在引发未来航空作战力量运用方式产生新变革的同时,也将给作为集群成员间联系与沟通纽带的机载战术网络(ATN,airborne tactical network)带来全新的挑战。基于航空集群...航空集群是受生物集群行为启发而产生的一种全新航空作战力量体系,在引发未来航空作战力量运用方式产生新变革的同时,也将给作为集群成员间联系与沟通纽带的机载战术网络(ATN,airborne tactical network)带来全新的挑战。基于航空集群作战应用需求,对航空集群机载战术网络(ATNAS,airborne tactical network of aeronautic swarm)进行了介绍,分析了航空集群作战应用对航空集群机载战术网络的基本能力需求,总结了将软件定义网络(SDN,software defined network)设计思想运用于航空集群机载战术网络构建的优势;在此基础上,提出软件定义航空集群机载战术网络(SDATN-AS,software defined airborne tactical networking for aeronautic swarm),并对其基本架构进行了阐述;归纳总结了软件定义航空集群机载战术网络的未来研究方向和挑战。对支持未来航空集群成员间高效信息交互的机载战术网络形态进行了探索,为明确未来机载战术网络的演进方向提供了参考和借鉴。展开更多
This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial...This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial Vehicles(multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization(ACO) algorithm, an attack module designed based on the Parallel Approach(PA)scheme, a threat avoidance module designed based on the Dubins Curve(DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.展开更多
基金supported by the National High-Tech Research and Development "Plan Research of Agricultural Machinery Positioning and Navigation Technology Device"(2017YFD0700401)
文摘航空集群是受生物集群行为启发而产生的一种全新航空作战力量体系,在引发未来航空作战力量运用方式产生新变革的同时,也将给作为集群成员间联系与沟通纽带的机载战术网络(ATN,airborne tactical network)带来全新的挑战。基于航空集群作战应用需求,对航空集群机载战术网络(ATNAS,airborne tactical network of aeronautic swarm)进行了介绍,分析了航空集群作战应用对航空集群机载战术网络的基本能力需求,总结了将软件定义网络(SDN,software defined network)设计思想运用于航空集群机载战术网络构建的优势;在此基础上,提出软件定义航空集群机载战术网络(SDATN-AS,software defined airborne tactical networking for aeronautic swarm),并对其基本架构进行了阐述;归纳总结了软件定义航空集群机载战术网络的未来研究方向和挑战。对支持未来航空集群成员间高效信息交互的机载战术网络形态进行了探索,为明确未来机载战术网络的演进方向提供了参考和借鉴。
基金supported in part by National Natural Science Foundation of China (Nos. 61741313, 61673209, and 61533008)Jiangsu Six Peak of Talents Program, China (No. KTHY-027)Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (No. KYCX18_0303)
文摘This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial Vehicles(multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization(ACO) algorithm, an attack module designed based on the Parallel Approach(PA)scheme, a threat avoidance module designed based on the Dubins Curve(DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.
