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基于蚁群算法的无人机舰机协同任务规划 被引量:7

Collaborative mission planning of UAV based on ant colony algorithms
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摘要 随着近年来计算机与无人控制技术的不断发展,无人机逐渐成为军事作战领域中不可缺少的战略力量,舰载无人机技术已经成为打击、侦察等任务的重要手段。本文研究的重点是无人机舰机任务的协同与控制技术,充分结合蚁群算法和传感器技术等,实现了舰载无人机与舰船的任务协同控制。后期的大量试验数据表明,基于蚁群算法的无人机舰机协同具有良好的效果。 with the continuous development of computer and unmanned control technology in recent years,unmanned aerial vehicle(UAV)has gradually become an indispensable strategic force in the field of military operations,and shipborne UAV technology has become an important means of attacking,reconnaissance and other tasks.This paper focuses on the UAV task coordination and control technology,fully combines ant colony algorithm and sensor technology,achieves the task coordination control between UAV and ship.A large number of experimental data in the later period show that the UAV task coordination based on ant colony algorithm has good effect and deserves further promotion.
作者 鲁丰玲 LU Feng-ling(Software Academy,Shangqiu Vocational and Technical College,Shangqiu 476100,China)
出处 《舰船科学技术》 北大核心 2019年第18期67-69,共3页 Ship Science and Technology
关键词 蚁群算法 无人机 任务协同 传感器 Ant colony algorithm UAV Task coordination Sensor
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