电子学报 ›› 2012, Vol. 40 ›› Issue (10): 2068-2072.DOI: 10.3969/j.issn.0372-2112.2012.10.027

• 学术论文 • 上一篇    下一篇

基于分布式约束优化的多平台导弹协同航路规划

雷兴明, 邢昌风, 吴玲, 卢发兴   

  1. 海军工程大学电子工程学院, 湖北武汉 430033
  • 收稿日期:2011-06-22 修回日期:2012-05-21 出版日期:2012-10-25
    • 作者简介:
    • 雷兴明 男,1987年出生,四川泸州人,主要研究方向:分布式智能优化.邢昌风 男,1957年出生,安徽芜湖人,教授,博士生导师.主要研究方向:作战系统效能分析. E-mail:xingchf@sohu.com
    • 基金资助:
    • 总装预研基金 (No.9140A06040111JB1113)

Path Planning for Multi-platform Missiles Based on Distributed Constrained Optimization

LEI Xing-ming, XING Chang-feng, WU Ling, LU Fa-xing   

  1. Electronics Engineering School, Naval University of Engineering, HuBei, Wuhan 430033, China
  • Received:2011-06-22 Revised:2012-05-21 Online:2012-10-25 Published:2012-10-25
    • Supported by:
    • Pre-research Fund of the General Armaments Department (No.9140A06040111JB1113)

摘要: 考虑到战场环境存在不同威胁体,引入改进型Voronoi图,完成了不同威胁集合下导弹可飞航路集的构图;建立了威胁和燃油模型,计算得到各段航路的代价.在此基础上,针对多导弹航路的总代价最小,且到达目标的最大时差最小的优化目标,将多平台导弹航路规划问题建模为分布式约束优化问题,并利用分布式约束优化算法求解各弹的航路.针对典型实例进行了仿真,获得了优化的航路方案,且计算时间、通信量等指标均表明了模型方法的有效性.

关键词: 多导弹协同, 改进型Voronoi图, 协同航路规划, 分布式约束优化问题

Abstract: In the coordinative path planning for distributed multiple missiles,an improved Voronoi diagram is introduced to construct a set of feasible flight paths of the missiles,and a model is presented for calculation of the cost of each path taking the threat and fuel into account.Aiming at minimizing the total cost of the paths and the greatest time difference of arriving of all the missiles,the multi-platform missile path planning problem is modeled as a distributed constrained optimization problem (DCOP),and is well solved with existed DCOP algorithms.A typical senario is simulated to verify the presented method.The simulation results show the optimized path planning can be obtained,the computational time cost,as well as the communication cost is moderate,and the method is validate in practical applications.

Key words: multi-missile cooperation, improved Voronoi diagram, cooperative path planning, distributed constrained optimization problem

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