摘要
执行任务时多无人机之间的任务协调是保证无人机具备协同工作能力并且顺利完成任务的关键。将无人战斗机编队的协调过程看成一种动态的任务分配过程,建立任务协调模型,分析任务协调问题的粒子初始化和寻优方法,编写基于粒子群优化算法的任务协调问题程序。对粒子群优化算法参数对任务协调方案的影响进行了仿真验证,结果表明此方法得出的方案合理有效可以满足无人战斗机任务协调问题的要求。
When multi uninhabited combat air vehicles （UCAVs） are executing their tasks, their tasks scheduling is a key issue that UCAVs have interoperability and can complete their tasks. If task scheduling was assumed as a dynamic task allocation process, the scheduling model is built. Then an algorithm based on parti- cle swarm optimization （PSO） is introduced, when the initialized particles were constructed, the task scheduling program based on PSO can be acquired. The influences of PSO parameters on scheduling results are validated, and the simulation shows that the task scheduling results are valid and conform to the requirements of task scheduling problems.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第2期439-442,共4页
Systems Engineering and Electronics
基金
国家航空科学基金资助课题(2006ZC51039)
关键词
无人战斗机
任务协调
目标分配
粒子群优化
uninhabited combat air vehicle
task scheduling
target assignment
particle swarm optimization
