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基于改进粒子群算法的翼型稳健型气动优化设计

王元元 张彬乾 陈迎春

王元元, 张彬乾, 陈迎春. 基于改进粒子群算法的翼型稳健型气动优化设计[J]. 应用数学和力学, 2011, 32(10): 1161-1168. doi: 10.3879/j.issn.1000-0887.2011.10.003
引用本文: 王元元, 张彬乾, 陈迎春. 基于改进粒子群算法的翼型稳健型气动优化设计[J]. 应用数学和力学, 2011, 32(10): 1161-1168. doi: 10.3879/j.issn.1000-0887.2011.10.003
WANG Yuan-yuan, ZHANG Bin-qian, CHEN Ying-chun. Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method[J]. Applied Mathematics and Mechanics, 2011, 32(10): 1161-1168. doi: 10.3879/j.issn.1000-0887.2011.10.003
Citation: WANG Yuan-yuan, ZHANG Bin-qian, CHEN Ying-chun. Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method[J]. Applied Mathematics and Mechanics, 2011, 32(10): 1161-1168. doi: 10.3879/j.issn.1000-0887.2011.10.003

基于改进粒子群算法的翼型稳健型气动优化设计

doi: 10.3879/j.issn.1000-0887.2011.10.003
详细信息
    作者简介:

    王元元(1982- ),男,河南洛阳人,博士生(Tel:+86-29-88494846;E-mail:wyy-7758521@hotmail.com);张彬乾,教授(联系人.E-mail:bqzhang@nwpu.edu.cn).

  • 中图分类号: V211.3

Robust Airfoil Optimization Based on Improved Particle Swarm Optimization Method

  • 摘要: 基于标准粒子群算法,将位移变化作为影响微粒速度的变量,使得粒子群算法关于粒子位置为二阶精度函数,加快了收敛速度;进一步地在粒子速度更新公式中引入振荡环节,提高了群体多样性,改善了算法的全局收敛性.以改进粒子群算法为基础,结合气动分析程序、代理模型以及翼型参数化方法,构建了翼型稳健型气动优化设计系统.针对某型客机的基本翼型以及翼梢小翼翼型气动优化设计结果表明,优化后的翼型气动特性相对于初始翼型在较宽的设计范围内都有了大幅度提高.
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  • 被引次数: 0
出版历程
  • 收稿日期:  2011-01-30
  • 修回日期:  2011-07-07
  • 刊出日期:  2011-10-15

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