基于元胞蚂蚁算法的无人靶机航路规划设计
기우원포마의산법적무인파궤항로규화설계
Route Planning of Unmanned Target Drone Based on Cellular-Ant Colony Algorithm
  • 万方数据
    电子测试 전자측시
    ELECTRONIC TEST
    2013年 10期 137-138 ,共2页

    刘志强%陈景彬

    류지강%진경빈

    元胞蚂蚁算法%飞行航路 元胞螞蟻算法%飛行航路
    원포마의산법%비행항로
    Cellular-Ant Colony Algorithm%route planning%UAV (unmanned aerial vehicle)
    靶机飞行航路设计是实现靶机有效控制，确保高效完成供靶任务的保障。本文通过元胞蚂蚁算法对某型无人靶机飞行航路优化设计进行了研究，分析了实现航路优化应突出解决的问题，并通过仿真实验验证该方法的可行性。
    파궤비행항로설계시실현파궤유효공제，학보고효완성공파임무적보장。본문통과원포마의산법대모형무인파궤비행항로우화설계진행료연구，분석료실현항로우화응돌출해결적문제，병통과방진실험험증해방법적가행성。
    Route planning of unmanned target drone is the basis of its efficient control and ensuring its high-performance of completing target mission. The route planning of an unmanned target drone is studied based on cellular-ant colony algorithm. The main problem of the optimum of the route planning is analyzed. The possibility of this method has been tested by simulation experiments.
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