摘要
微下击暴流场的建模在飞行仿真中具有重要意义。将多涡环微下击暴流模型参数选择看作一个优化问题,引入微分进化算法来解决该问题。在按照水平垂直风速最大峰值比进行参数选择中,同时包含了互相关联的两种寻优过程。对标准微分进化算法进行改进,提出利用嵌套的微分进化算法同时完成目标寻优和中间寻优两个过程。仿真试验表明,本文方法可灵活地生成任意水平垂直风速最大峰值比值的微下击暴流场,并且能够满足用户设定的误差范围要求。
Modelling of a microburst is significant for flight simulations. The parameters selection of the multiple vortex ring model of microburst is treated as an optimization problem, and the differential evolution algorithm is introduced into it. In the process of selecting the parameters by the proportion between maximal horizontal velocity and maximal vertical velocity, two interrelated optimization processes are included. Therefore, the standard differential evolution algorithm is improved. A nested differential evolution algorithm is proposed to complete the two optimization processes, objective optimization and intermediate optimization. The simulation results show that this method can flexibly generate microburst with any proportion between maxima/horizontal velocity and maximal vertical velocity, and the error between factual proportion and the setting proportion can meet the requirement set by the user.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第11期2379-2383,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61201305)
中央高校基本科研业务费专项资金(HIT.NSRIF.2012015)
黑龙江省博士后基金(LBH-Z11170)资助课题
关键词
风场建模
微下击暴流模型
多涡环模型
嵌套微分进化算法
wind field simulation
mieroburst model
multiple vortex model
nested differential evolution algorithm
