To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on impr...To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatial situation is proposed to quantify the concealment of UAV penetration. Then the structure-particle swarm optimization(PSO) algorithm is improved from three aspects.First, the conversion ability of the search strategy is enhanced by using the system clustering method and the information entropy grouping strategy instead of random grouping and constructing the state switching conditions based on the fitness function.Second, the unclear setting of iteration numbers is addressed by using particle spacing to create the termination condition of the algorithm. Finally, the trajectory is optimized to meet the intended requirements by building a predictive control model and using the IHPSO for simulation verification. Numerical examples show the superiority of the proposed method over the existing PSO methods.展开更多
为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holoni...为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holonic-C2组织的基本结构;其次,对Holonic-C2组织的决策权限进行分析,给出决策模式的划分及确定方法;最后,研究在不同决策模式下Holon单元资源调度及针对不确定性事件的动态调度方法,建立集中与协作相结合的资源调度和调整机制。展开更多
为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一...为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性;针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。展开更多
基金supported by the National Natural Science Foundation of China (61502522)Hubei Provincial Natural Science Foundation(2019CFC897)。
文摘To meet the requirements of safety, concealment, and timeliness of trajectory planning during the unmanned aerial vehicle(UAV) penetration process, a three-dimensional path planning algorithm is proposed based on improved holonic particle swarm optimization(IHPSO). Firstly, the requirements of terrain threat, radar detection, and penetration time in the process of UAV penetration are quantified. Regarding radar threats, a radar echo analysis method based on radar cross section(RCS)and the spatial situation is proposed to quantify the concealment of UAV penetration. Then the structure-particle swarm optimization(PSO) algorithm is improved from three aspects.First, the conversion ability of the search strategy is enhanced by using the system clustering method and the information entropy grouping strategy instead of random grouping and constructing the state switching conditions based on the fitness function.Second, the unclear setting of iteration numbers is addressed by using particle spacing to create the termination condition of the algorithm. Finally, the trajectory is optimized to meet the intended requirements by building a predictive control model and using the IHPSO for simulation verification. Numerical examples show the superiority of the proposed method over the existing PSO methods.
文摘为了解决复杂多变战场环境下指挥控制(command and control,C2)组织资源调度敏捷性不足的问题,将Holonic控制理论引入C2组织的设计领域,研究Holonic-C2组织的资源调度问题。首先,对基于Holonic理论的C2组织Holon单元进行定义,给出Holonic-C2组织的基本结构;其次,对Holonic-C2组织的决策权限进行分析,给出决策模式的划分及确定方法;最后,研究在不同决策模式下Holon单元资源调度及针对不确定性事件的动态调度方法,建立集中与协作相结合的资源调度和调整机制。
文摘为了有效发挥指挥控制(Command and Control,C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性;针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。
