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多UCAV协同控制中的任务分配模型及算法
引用本文:霍霄华,陈岩,朱华勇,沈林成.多UCAV协同控制中的任务分配模型及算法[J].国防科技大学学报,2006,28(3):83-88.
作者姓名:霍霄华  陈岩  朱华勇  沈林成
作者单位:国防科技大学,机电工程与自动化学院,湖南,长沙,410073
摘    要:任务分配是多UCAV协同控制的核心和有效保证。分析了影响目标价值毁伤、UCAV损耗、任务消耗时间等三项关键战技指标的因素,综合考虑实战中多UCAV同时攻击同一目标和使用软杀伤武器这两种典型情况对UCAV执行任务的影响,建立了针对攻击任务的多UCAV协同任务分配模型,并应用粒子群算法求解。仿真结果验证了模型的合理性和算法的有效性。

关 键 词:无人作战飞机  任务分配  协同控制  粒子群优化
文章编号:1001-2486(2006)03-0083-06
收稿时间:2005/12/28 0:00:00
修稿时间:2005年12月28

Study on Task Allocation Model and Algorithm for multi-UCAV Cooperative Control
HUO Xiaohu,CHEN Yan,ZHU Huayong and SHEN Lincheng.Study on Task Allocation Model and Algorithm for multi-UCAV Cooperative Control[J].Journal of National University of Defense Technology,2006,28(3):83-88.
Authors:HUO Xiaohu  CHEN Yan  ZHU Huayong and SHEN Lincheng
Affiliation:College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China
Abstract:Task allocation is one of the core steps to effectively exploit the capabilities of cooperative control of multi-UCAV.Factors that effect the three key tactical objects,target value damage,UCAV attritions and task expending time are analyzed.By integrating the two typical instances in combat,that is multi-UCAV attacking the same target simultaneously and using soft kill weapon systems,a multi-UCAV cooperation task allocation model for attacking task is formulated.A new algorithm based on the principles of particle swarm optimization is proposed.Simulation results indicate that the task allocation model formulated in this paper is rational and the PSO based algorithm is effective.
Keywords:unmanned combat aerial vehicle  task allocation  cooperation control  particle swarm optimization
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