基于无人机未来融入国家空域系统的发展趋势,针对无人机数量增多导致与有人机之间碰撞风险增大的问题,根据ADS-B IN的优势和特点,提出了一种融合空域下,无人机利用ADS B IN进行冲突探测和解脱的模型。模型中依据飞行器的具体参数划设了...基于无人机未来融入国家空域系统的发展趋势,针对无人机数量增多导致与有人机之间碰撞风险增大的问题,根据ADS-B IN的优势和特点,提出了一种融合空域下,无人机利用ADS B IN进行冲突探测和解脱的模型。模型中依据飞行器的具体参数划设了有人机的安全区和保护区,并利用几何法设置潜在碰撞风险判定标准和解脱完成标准,根据最小机动和最快解脱原则,无人机在空域内进行实时探测并对可能产生冲突的有人机主动避让,在避让过程中分别考虑了速度解脱、航向解脱、速度和航向混合解脱三种解脱策略。在实际运行场景中,同时考虑了风对航空器速度和航向的影响,进行了风速修正。设置三种运行场景进行了仿真试验,仿真结果满足最低安全间隔的要求。为进一步验证模型的优势,另与传统的人工势场方法进行了仿真对比。以上两种结果均证实了模型的可靠性和优越性,未来可用于降低管制员工作负荷,提高空域整体安全性。展开更多
The formation of the manned aerial vehicle/unmanned aerial vehicle(MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clusterin...The formation of the manned aerial vehicle/unmanned aerial vehicle(MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clustering phase, the geographical position of tasks is taken into consideration and a cluster method is proposed. For the UAV allocation phase, the UAV requirement for both constrained and unconstrained resources is introduced, and a multi-objective optimal algorithm is proposed to solve the allocation problem. For the MAV allocation phase, the optimal model is firstly constructed and it is decomposed according to the ideal of greed to reduce the time complexity of the algorithm. Based on the above phases, the MAV/UAV task coalition formation method is proposed and the effectiveness and practicability are demonstrated by simulation examples.展开更多
Aiming at the intervention decision-making problem in manned/unmanned aerial vehicle（MAV/UAV） cooperative engagement, this paper carries out a research on allocation strategy of emergency discretion based on human f...Aiming at the intervention decision-making problem in manned/unmanned aerial vehicle（MAV/UAV） cooperative engagement, this paper carries out a research on allocation strategy of emergency discretion based on human factors engineering（HFE）.Firstly, based on the brief review of research status of HFE, it gives structural description to emergency in the process of cooperative engagement and analyzes intervention of commanders. After that,constraint conditions of intervention decision-making of commanders based on HFE（IDMCBHFE） are given, and the mathematical model, which takes the overall efficiency value of handling emergencies as the objective function, is established. Then, through combining K-best and variable neighborhood search（VNS） algorithm, a K-best optimization variable neighborhood search mixed algorithm（KBOVNSMA） is designed to solve the model. Finally,through three groups of simulation experiments, effectiveness and superiority of the proposed algorithm are verified.展开更多
对有人/无人机协同作战指挥控制(Command and Control,C2)系统技术问题开展研究.总结了有人/无人机协同作战验证项目试验情况并分析了协同作战体系组成、C2结构和复杂性.结合作战特点和任务需求,提出了包括计算通信层、协同控制层和规...对有人/无人机协同作战指挥控制(Command and Control,C2)系统技术问题开展研究.总结了有人/无人机协同作战验证项目试验情况并分析了协同作战体系组成、C2结构和复杂性.结合作战特点和任务需求,提出了包括计算通信层、协同控制层和规划决策层的递阶式C2系统结构.根据决策粒度差异,划分了编组、编队和单机三层决策层次,分析了决策模块中的决策模式优选与跃迁、辅助决策和人机协同等关键技术,并对未来研究方向进行了展望.展开更多
文摘基于无人机未来融入国家空域系统的发展趋势,针对无人机数量增多导致与有人机之间碰撞风险增大的问题,根据ADS-B IN的优势和特点,提出了一种融合空域下,无人机利用ADS B IN进行冲突探测和解脱的模型。模型中依据飞行器的具体参数划设了有人机的安全区和保护区,并利用几何法设置潜在碰撞风险判定标准和解脱完成标准,根据最小机动和最快解脱原则,无人机在空域内进行实时探测并对可能产生冲突的有人机主动避让,在避让过程中分别考虑了速度解脱、航向解脱、速度和航向混合解脱三种解脱策略。在实际运行场景中,同时考虑了风对航空器速度和航向的影响,进行了风速修正。设置三种运行场景进行了仿真试验,仿真结果满足最低安全间隔的要求。为进一步验证模型的优势,另与传统的人工势场方法进行了仿真对比。以上两种结果均证实了模型的可靠性和优越性,未来可用于降低管制员工作负荷,提高空域整体安全性。
基金supported by the National Natural Science Foundation of China(61573017 61703425)the Aeronautical Science Fund(20175796014)
文摘The formation of the manned aerial vehicle/unmanned aerial vehicle(MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clustering phase, the geographical position of tasks is taken into consideration and a cluster method is proposed. For the UAV allocation phase, the UAV requirement for both constrained and unconstrained resources is introduced, and a multi-objective optimal algorithm is proposed to solve the allocation problem. For the MAV allocation phase, the optimal model is firstly constructed and it is decomposed according to the ideal of greed to reduce the time complexity of the algorithm. Based on the above phases, the MAV/UAV task coalition formation method is proposed and the effectiveness and practicability are demonstrated by simulation examples.
基金supported by the National Natural Science Foundation of China(61573017)the Doctoral Foundation of Air Force Engineering University(KGD08101604)
文摘Aiming at the intervention decision-making problem in manned/unmanned aerial vehicle（MAV/UAV） cooperative engagement, this paper carries out a research on allocation strategy of emergency discretion based on human factors engineering（HFE）.Firstly, based on the brief review of research status of HFE, it gives structural description to emergency in the process of cooperative engagement and analyzes intervention of commanders. After that,constraint conditions of intervention decision-making of commanders based on HFE（IDMCBHFE） are given, and the mathematical model, which takes the overall efficiency value of handling emergencies as the objective function, is established. Then, through combining K-best and variable neighborhood search（VNS） algorithm, a K-best optimization variable neighborhood search mixed algorithm（KBOVNSMA） is designed to solve the model. Finally,through three groups of simulation experiments, effectiveness and superiority of the proposed algorithm are verified.
文摘对有人/无人机协同作战指挥控制(Command and Control,C2)系统技术问题开展研究.总结了有人/无人机协同作战验证项目试验情况并分析了协同作战体系组成、C2结构和复杂性.结合作战特点和任务需求,提出了包括计算通信层、协同控制层和规划决策层的递阶式C2系统结构.根据决策粒度差异,划分了编组、编队和单机三层决策层次,分析了决策模块中的决策模式优选与跃迁、辅助决策和人机协同等关键技术,并对未来研究方向进行了展望.
