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基于粒子群优化算法的低空突防航迹规划

成玉柱 李站生 陈晓鹏

指挥控制与仿真Issue(4):42-46,5.
指挥控制与仿真Issue(4):42-46,5.DOI:10.3969/j.issn.1673-3819.2014.04.010

基于粒子群优化算法的低空突防航迹规划

Low Altitude P enetration Technology Based on P article Swarm Optimization

成玉柱 1李站生 2陈晓鹏1

作者信息

  • 1. 南京陆军指挥学院,江苏 南京 210045
  • 2. 国防科学技术大学,湖南 长沙 410073
  • 折叠

摘要

Abstract

This paper attempts to discuss flight path planning to low altitude penetration tactical by using Particle Swarm op-timization. First, physical limitation and tactical requirement of low altitude penetration for flight are analyzed. Then, Particle Swarm optimization is introduced based on the restrains of flight path planning and the complicated calculations, and Particle Swarm optimization is introduced in brief. The paper makes flight path planning by using Particle Swarm optimization. At last, experiments demonstrate that the method can plan the feasible path for low altitude penetration.

关键词

低空突防/航迹规划/粒子群优化算法

Key words

low altitude penetration/flight path planning/Particle Swarm optimization

分类

军事科技

引用本文复制引用

成玉柱,李站生,陈晓鹏..基于粒子群优化算法的低空突防航迹规划[J].指挥控制与仿真,2014,(4):42-46,5.

指挥控制与仿真

OACSTPCD

1673-3819

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