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作 者:张小孟 胡永江 李永科 谭威 甄智明 贺津 ZHANG Xiaomeng;HU Yongjiang;LI Yongke;TAN Wei;ZHEN Zhiming;HE Jin(Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China;Shijiazhuang Public Security Bureau, Shijiazhuang 050003, China)
机构地区:[1]陆军工程大学无人机工程系,石家庄050003 [2]石家庄市公安局,石家庄050003
出 处:《兵器装备工程学报》2022年第5期226-231,共6页Journal of Ordnance Equipment Engineering
基 金:国防科技项目基金项目(2019-JCJQ-JJ-015)。
摘 要:针对多类型多无人机协同作战时任务类型多、规划复杂的问题,提出了一种无人机分层族群任务规划方法。在现有的侦察、攻击和中继任务规划方法的基础上,结合各种任务需求,建立族群任务规划模型。利用多Agent的方法,对模型分层、分步进行求解,将大规模复杂问题转化为多个小规模问题,有效提高规划效率。进行仿真验证,结果表明,该方法能有效解决无人机族群对多区域多任务的实时规划问题。减少了时间成本,提高了规划效率,具有良好的工程实用性。In order to solve the problems of multi type and multi-UAV cooperative operation,multi task types and complex planning were proposed.On the basis of existing reconnaissance,attack and relay mission planning methods,combined with various mission requirements,an ethnic mission planning model was established.Then,the multi-agent method was used to solve the model hierarchically and step by step,and the large-scale complex problem was transformed into many small-scale problems,which can effectively improve the planning efficiency.The simulation results show that the method can effectively solve the real-time planning problem of UAV population for multi area and multi task.It reduces the time cost,improves the planning efficiency,and has good engineering practicability.
分 类 号:V249[航空宇航科学与技术—飞行器设计]
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