[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 区域覆盖的多机协同探测任务分配策略-A Multi UAV Cooperative Detection Task Allocation Strategy Based on Area Coverage
文章摘要
向庭立, 王红军, 史英春.区域覆盖的多机协同探测任务分配策略[J].空军工程大学学报:自然科学版,2019,20(6):33-38
区域覆盖的多机协同探测任务分配策略
A Multi UAV Cooperative Detection Task Allocation Strategy Based on Area Coverage
  
DOI:
中文关键词: 无人机  协同  兴趣区域  灰狼算法
英文关键词: unmanned aerial vehicle  collaboration  area of interest  grey wolf algorithm
基金项目:国家自然科学基金(61273302)
作者单位
向庭立, 王红军, 史英春 College of Electronic Countermeasure, National University of Defense Technology, Hefei 230037, China 
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中文摘要:
      为满足战场环境下对兴趣区域进行覆盖探测的任务需求,提出了一种基于区域覆盖的多无人机协同探测任务分配策略。首先通过最小圆覆盖法确定无人机在兴趣区域中的目标航迹点,其次进行多机协同任务规划,在目标分配模型的基础上进一步建立时间分配模型,然后利用改进灰狼算法对任务分配模型进行求解,最终实现资源优化分配决策方案的获取。仿真结果表明,所提算法相比其他算法具有更快的收敛速度,能够更加有效地解决区域覆盖探测资源优化分配问题。
英文摘要:
      In order to meet the task requirements of coverage detection of interest areas in the battlefield environment, this paper proposes a multi UAV cooperative detection task allocation strategy based on regional coverage. Firstly, the target track point of the UAV in the region of interest is determined by the minimum circle coverage method. Secondly, the multi UAV collaborative task planning is carried out, and a time allocation model is further established based on the target allocation model, and then the improved gray wolf algorithm is used to solve the task assignment model, and finally the resource optimization allocation decision scheme is obtained. The simulation results show that the proposed algorithm is good at convergence speed compared with other algorithms, and is advantageous to the solution of optimal allocation of regional coverage detection resources.
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