上海交通大学学报

上海交通大学学报（自然版）

• 兵器工业 • 上一篇    下一篇

基于改进蚁群算法的巡航导弹三维航迹规划

高守玮1,2，杨叶青1,张卫东1
  

  1. （1.上海交通大学 自动化系， 上海 200240；　2.上海大学 自动化系， 上海 200072）
  • 收稿日期:2009-09-16 修回日期:1900-01-01 出版日期:2010-09-28 发布日期:2010-09-28

Trajectory Planning for Cruise Missile in ThreeDimensional Space Based on Improved Ant Colony Algorithm

GAO Shouwei1,2,YANG Yeqing1,ZHANG Weidong1
  

  1. (1.Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China;
    2.Department of Automaton, Shanghai University, Shanghai 200072, China)
  • Received:2009-09-16 Revised:1900-01-01 Online:2010-09-28 Published:2010-09-28

摘要： 针对巡航导弹三维航迹规划的复杂性及其搜索空间大且效率低的问题，提出了一种基于改进蚁群算法的航迹规划方法.将生存概率的优化目标函数由乘积最大化形式转化为和最小化形式，并与航迹段长度的优化目标函数形式一致，提出了允许后续航迹点的概念，将地形条件与航迹规划的约束条件加入搜索算法中，以使规划的航迹更符合实际情形且搜索空间减小，从而提高三维空间航迹规划的效率.仿真实例结果表明，所提出的规划方法可以规划出具有较大生存概率且可接受航程的航迹.

关键词: 航迹规划, 优化目标, 约束, 蚁群算法

Abstract: A method of trajectory planning in threedimensional space was proposed based on Improved Ant Colony Algorithm (ACA). The optimization object function of survival probability was transferred, thus the maximum problem of survival probability and the minimization problem of trajectory length could be integrated into one. The consideration of terrain and the constraints were combined with the searching algorithm to make the trajectory more rational and the searching more efficiently. The simulation analyses show that the method of trajectory planning in this paper is applicable and acceptable.

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