航空学报 > 2003, Vol. 24 Issue (6): 499-502

应用自适应遗传算法进行参考航迹规划

何珮, 屈香菊, 武哲   

  1. 北京航空航天大学飞行器设计与应用力学系 北京 100083
  • 收稿日期:2002-10-17 修回日期:2003-04-12 出版日期:2003-12-25 发布日期:2003-12-25

Aircraft Referenced Flight Path Planning by Using Adaptive Genetic Algorithms

HE Pei, QU Xiang ju, WU Zhe   

  1. Department of Flight Vehicle Design and Applied Mechanics; Beijing University of Aeronautics and Astronautics; Beijing 100083; China
  • Received:2002-10-17 Revised:2003-04-12 Online:2003-12-25 Published:2003-12-25

摘要: 确定参考航迹是利用分层规划思想进行航迹规划时首先要解决的问题。针对参考航迹规划算法中全局最优和信息处理量之间的矛盾, 采用自适应遗传算法进行参考航迹规划。算法对飞行方向进行编码构造个体, 并在此基础上设计交叉和变异算子; 在进化过程中采用自适应交叉概率和变异概率。仿真结果表明, 该方法大大降低了信息的记忆和处理量, 并提高了遗传算法的全局寻优能力, 为突防飞行器提供满足战术要求的参考航迹。

关键词: 飞行轨迹, 遗传算法, 最佳化, 自适应, 低空突防

Abstract: The referenced flight path should be firstly determined in hierarchical flig ht path planning . To resolve theconflict betw een global opt imization and information processing in the algorit hm of referenced pat h planning, thispaper develops an adaptiv e g enetic algorit hm to the referenced path planning. In t he algor ithm the chromosome isconstructed by a sequence of flight directions, on the basis of which the crossover o perato r and mutation operator aredesigned. I n the process of ev olution, t he adaptive crossover probability and mutation probability are developed. Thenumerical applicat ion demonstrates that the proposed method reduces the memor y and processing of informatio n andimproves the global opt imization ability of the genetic algorit hm. The proposed method can provide penetration vehicles with a refer enced flight path satisfying the tactics requirement.

Key words: flight paths, genetic algorithm, optimization, adaption, low altitude penetration

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