| 引用本文: | 霍霄华,陈岩,朱华勇,等.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.[点击复制] |
| HUO Xiaohua,CHEN Yan,ZHU Huayong,et al.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[点击复制] |
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| 多UCAV协同控制中的任务分配模型及算法 |
| 霍霄华, 陈岩, 朱华勇, 沈林成 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 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 |
| DOI： |
| 投稿日期：2005-12-28 |
| 基金项目:国家部委资助项目(5130801) |
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| Study on Task Allocation Model and Algorithm for multi-UCAV Cooperative Control |
| HUO Xiaohua, CHEN Yan, ZHU Huayong, SHEN Lincheng |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| 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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