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《中国航空学报》2021,34(2):466-478
With the development of Unmanned Aerial Vehicle (UAV) system autonomy, network communication technology and group intelligence theory, mission execution in the form of a UAV swarm will be an important realization of future applications. Traditional single-UAV mission reliability modeling methods have been unable to meet the requirements of UAV swarm mission reliability modeling. Therefore, the UAV swarm mission reliability modeling and evaluation method is proposed. First, aimed at the interdependence among the multiple layers, a multi-layer network model of a UAV swarm is established. At the same time, based on the system having the following characteristics—using a mission chain to complete the mission and applying the connectivity of the mission network—the mission network model of a UAV swarm is established. Second, vulnerability and connectivity are selected as two indicators to reflect the reliability of the mission, and aimed at random attack and deliberate attack, vulnerability and connectivity evaluation methods are proposed. Finally, the validity and accuracy of the constructed model are verified through simulations, and the model and selected indicators can meet the reliability requirements of the UAV swarm mission. In this way, this study provides quantitative reference for UAV-swarm-related decision-making work and supports the development of UAV-swarm-related work. 相似文献
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面向无人机蜂群的航电云多层任务调度模型 总被引:1,自引:1,他引:1
在航空作战体系中,基于航电云的无人机(UAV)蜂群作战是提高未来无人机综合作战能力的一种新模式。针对无人机蜂群作战的航电云架构,如何将云端作战任务派发到无人机且保证作战任务完成时间是其中关键。在无人机蜂群分层分簇网络结构和模块级资源虚拟化的基础上,对传统单层平台级任务调度模型进行改进,提出了一种细化到模块级的多层任务调度模型,将作战任务从云端逐层调度到无人机功能模块上执行。利用OMNeT++对无人机蜂群多层任务调度模型以及传统的单层任务调度模型分别进行仿真,云端以攻击使命组为例构建使命组集进行分配,并对任务吞吐量、消息平均端到端延时和任务完成时间进行性能对比。仿真结果表明:与平台级单层任务调度相比,在执行任务方面,模块级多层任务调度模型将单个任务平均完成时间降低了46.2%,将使命组完成时间降低了52.1%,在保证任务吞吐量的基础上具有对复杂任务更稳定的调度能力;在网络性能方面,模块级多层任务调度模型消息端到端延时更低,延时分布更集中,提高了网络消息传输的实时性。 相似文献
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无人机的集群化应用技术是近年来的研究热点,随着无人机自主智能的不断提高,无人机集群技术必将成为未来无人机发展的主要趋势之一。针对无人机集群协同执行对敌方来袭目标的追击任务,构建了典型的任务场景,基于深度确定性策略梯度网络(DDPG)算法,设计了一种引导型回报函数有效解决了深度强化学习在长周期任务下的稀疏回报问题,通过引入基于滑动平均值的软更新策略减少了DDPG算法中Eval网络和Target网络在训练过程中的参数震荡,提高了算法的训练效率。仿真结果表明,训练完成后的无人机集群能够较好地执行对敌方来袭目标的追击任务,任务成功率达到95%。可以说无人机集群技术作为一种全新概念的作战模式在军事领域具有潜在的应用价值,人工智能算法在无人机集群的自主决策智能化发展方向上具有一定的应用前景。 相似文献
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针对传统的规则学习算法很难解决顶层决策,以及现阶段航空集群作为一种新兴的作战样式,没有太多现成的数据和案例可供参考,暂不具备"从战争中学习战争"条件等难题,从战争设计的角度出发,探讨性地提出了一种基于情景分析的规则库构建方法。首先,从系统演化的外部触发条件和内部驱动机制出发,提出了基于事件触发-规则驱动的自主决策机制;然后,将航空集群决策规则拆分为事件、条件、动作3部分,并采用事件-条件-动作(ECA)描述机制进行规范化表达;最后,借鉴情景分析理论的思想,通过详细分析作战过程的逻辑关系、状态变迁,实现对象、事件、行为的关联,并以无人机自主察打任务规则提取为例进行了验证分析。 相似文献
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《中国航空学报》2016,(6):1685-1694
Coordinated mission decision-making is one of the core steps to effectively exploit the capabilities of cooperative attack of multiple aircrafts. However, the situational assessment is an essential base to realize the mission decision-making. Therefore, in this paper, we develop a mission decision-making method of multi-aircraft cooperatively attacking multi-target based on situational assessment. We have studied the situational assessment mathematical model based on the Dempster-Shafer (D-S) evidence theory and the mission decision-making mathematical model based on the game theory. The proposed mission decision-making method of antagonized airfight is validated by some simulation examples of a swarm of unmanned combat aerial vehicles (UCAVs) that carry out the mission of the suppressing of enemy air defenses (SEAD). 相似文献
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Wireless network is the communication foundation that supports the intelligentization of Unmanned Aerial Vehicle(UAV) swarm. The topology of UAV communication network is the key to understanding and analyzing the behavior of UAV swarm, thus supporting the further prediction of UAV operations. However, the UAV swarm network topology varies over time due to the high mobility and diversified mission requirements of UAVs. Therefore, it is important but challenging to research dynamic topology infere... 相似文献
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介绍了小型无人机系统的总体结构,分析了无人机的结构设计和算法,阐述了弹射起飞系统和伞降着陆系统的设计原理,采用嵌入式系统和GPS设计无人机的飞行姿态控制、导航控制、任务控制系统和数据链,实现了空中机器人的自主飞行。 相似文献
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针对国内无人机操控人才培养过程中,在选拔对象、飞行经历、培养模式等方面存在的诸多疑问,文章通过分析有人机飞行员与无人机操控员在操控方式、操控感觉、态势感知、信息获取与处理以及交流沟通等方面的异同,探讨了两者间的区别与联系,对有人机飞行员改任无人机操控员的做法进行了深入探讨。研究成果可为我国无人机操控员的培养提供借鉴。 相似文献
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《Aerospace Science and Technology》2007,11(2-3):183-193
Future applications of UAV systems will depend on the aircraft autonomous behavior and decision capabilities. Search and Rescue is one complex possible mission and is here taken as a case study. The ReSSAC project is a multidisciplinary project at ONERA. Its main challenges are related to the architectures and algorithms for autonomous decision and information processing onboard UAVs that perform their mission in cooperation with operators. The feasibility demonstrations and results of the project are intended to be reused and extended in further studies, projects and collaborations. A first step of the project was to develop an autonomous control architecture for our two rotorcraft. In this paper, we present the current status and preliminary achievements of the ReSSAC project, especially some records of past experimental flights with our autonomous aircraft. We further discuss ongoing studies and research perspectives. 相似文献
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《中国航空学报》2020,33(11):2825-2827
With the rapid development of Unmanned Aerial Vehicle (UAV) technology, one of the emerging fields is to utilize multi-UAV as a team under autonomous control in a complex environment. Among the challenges in fully achieving autonomous control, Cooperative task assignment stands out as the key function. In this paper, we analyze the importance and difficulties of multi-UAV cooperative task assignment in characterizing scenarios and obtaining high-quality solutions. Furthermore, we present three promising directions for future research: Cooperative task assignment in a dynamic complex environment, in an unmanned-manned aircraft system and in a UAV swarm. Our goal is to provide a brief review of multi-UAV cooperative task assignment for readers to further explore. 相似文献
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基于agent的作战建模与仿真是无人机集群侦察效能评估的重要方法,但以往方法中agent行为机制 和模型结构难以描述复杂任务场景下的自组织侦察行为。以反海盗侦察任务为例,提出一种面向集群自组织 侦察的作战建模与仿真方法。设计多agent分层复合行为机制和可组合模块化agent模型结构,通过简单行为 的组合描述复杂行为;通过信息素图模块与航路管理模块的交互,实现自组织航路规划与飞行控制;并通过仿 真算例,来验证方法的可行性,对比分析不同航路规划方法的侦察效能。结果表明:自组织航路规划对中断航 路侦察的动态事件的适应性更强;对于大区域、长时间、低目标密度的区域覆盖侦察任务,仅通过改进航路规划 方法来降低访问间隔难以显著提高目标发现概率。 相似文献
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针对当前全球定位系统(GPS)易受干扰和攻击的影响,定位、导航与授时(PNT)系统需灵活应对多种复杂战场环境。分析了美国陆军未来发展先进PNT技术的背景,重点分析了美国陆军PNT能力的发展趋势,其中主要包括了伪卫星系统、车辆导航系统、惯性导航、定位、导航系统辅助传感器、导航传感器融合、导航仿生技术、授时、PNT建模与仿真、导航战技术应用、自主与人工智能在PNT中的应用等11个方面的发展趋势。最后给出了简要总结,认为美陆军将注重改进单兵和车辆态势感知能力,以提高未来支持战场指挥官的任务指挥和决策能力,同时重点关注了开放式系统架构、SWaP-C优化、自主技术和人工智能技术,以提升PNT的整体能力。 相似文献
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无人机自主控制发展趋势研究 总被引:2,自引:0,他引:2
根据无人机自主控制的定义与内涵,将无人机自主控制关键技术划分为态势感知技术、规划与协同技术、自主决策技术和执行任务技术,并针对这四项关键技术发展所涉及内容分别进行了层级研究,初步给出了我国无人机自主控制层级发展规划和层级发展趋势图,可以为我国建立无人机自主控制能力标准或者开展无人机自主控制研究项目提供参考. 相似文献
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《中国航空学报》2021,34(2):504-515
This paper investigates a formation control problem of fixed-wing Unmanned Aerial Vehicle (UAV) swarms. A group-based hierarchical architecture is established among the UAVs, which decomposes all the UAVs into several distinct and non-overlapping groups. In each group, the UAVs form hierarchies with one UAV selected as the group leader. All group leaders execute coordinated path following to cooperatively handle the mission process among different groups, and the remaining followers track their direct leaders to achieve the inner-group coordination. More specifically, for a group leader, a virtual target moving along its desired path is assigned for the UAV, and an updating law is proposed to coordinate all the group leaders’ virtual targets; for a follower UAV, the distributed leader-following formation control law is proposed to make the follower’s heading angle coincide with its direct leader, while keeping the desired relative position with respect to its direct leader. The proposed control law guarantees the globally asymptotic stability of the whole closed-loop swarm system under the control input constraints of fixed-wing UAVs. Theoretical proofs and numerical simulations are provided, which corroborate the effectiveness of the proposed method. 相似文献
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Modular Solar-Powered Aircraft(M-SPA) is a kind of High-Altitude Long-Endurance(HALE) aircraft which exploits the mission advantage of swarm UAV and the HALE advantage of large aspect-ratio SPA. M-SPA’s separated mode and combined mode give it the potential to maximize the mission efficiency with limited solar energy. In this paper, firstly, oriented by the mission of maximizing the cruise area, the overall design of the M-SPA is modeled, including the energy model, the aerodynamic model and the... 相似文献