有人/无人机协同打击航路智能规划

Intelligent route planning for cooperative striking of manned/unmanned aerial vehicle

中文关键词  K-均值算法  自适应增类  二次聚类  有人-无人协同作战  目标智能分配

英文关键词  K-均值算法  自适应增类  二次聚类  有人-无人协同作战  目标智能分配

中文摘要

      随着航空技术的发展，战机朝着高速化、隐身化、无人化、智能化的发展，有人机-无人机协同作战是当前的发展方向。本文针对战场环境中目标的不规则分布特点，建立了战场要素模型，将自适应增类的聚类思想和二次聚类模型应用到航路规划中。通过仿真验证，本文提出的方法能够很好的避免传统算法的局限，能够在在满足协同作战条件的同时，减小航路代价，简化规划复杂度。

英文摘要

      With the development of Aeronautical Technology, fighter planes is developed towards high speed, stealthy, unmanned and intelligent. Cooperative attacking for manned vehicle and unmanned aerial vehicle(UAV) is the current development direction. In this paper, based on the irregular distribution characteristics of the target in the battlefield environment, the model of each element in the battlefield is established, and the adaptive adding category clustering idea and the twice clustering model are applied to the route planning. The simulation results show that the proposed method can avoid the limitations of the traditional algorithm and can meet the requirements of cooperative engagement, reducing the cost of the route and simplify the planning complexity.