摘要
多导弹航迹规划是一个约束条件众多、强耦合的复杂多目标优化与决策问题,能有效提高作战效能。充分考虑了禁飞区和威胁区的不同作用距离、威胁度以及目标战术价值等环境因素,分别采用基于扩展Voronoi图法、基于栅格法和基于可视图法研究了多导弹航迹规划问题。采用了相同的战场环境,从产生的航迹、仿真时间、导弹攻击目标的组合、总体航迹代价和导弹飞行时间等各方面进行比较,仿真结果证明了3种算法的有效性,且根据研究问题的不同有各自的侧重点。提出的算法对多导弹航迹规划的研究具有很高的应用价值,可实际应用在巡航导弹、无人机等无人飞行器的协同控制中。
Multi-missile path planning was a complicated multi-objective optimization and decision-making problem with many strongly coupling constraints,and its objective was to increase the total operational efficiency of missiles.Making full consideration of the no-fly zones and threat zones with different operating distance,threat level,and tactical values of the targets,multi-missile path planning was studied by adopting the expanded Voronoi algorithm,the grid method and the visual graph algorithm respectively.The three algorithms were compared with each other from the aspects of the generated path,simulation time cost,coordinated target attacking,total path cost and missile flight time under the same battlefield environment.Simulation results proved that all the three algorithms are effective,and each one has its own advantages.The three algorithms are beneficial for further study on multi-missile path planning,which can be used in the cooperative control of the cruise missiles and UAVs.
出处
《电光与控制》
北大核心
2010年第10期28-32,74,共6页
Electronics Optics & Control
基金
航空科学基金和航空电子系统综合技术国防科技重点实验室联合资助(20095584006)
