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Application of Differential Evolution Intelligent Algorithm in High-vibration Aerodynamic Identification
Received date: 2019-04-29
Online published: 2025-02-12
Considering the sensitivity problem of traditional methods for initial value selection, a Differential Evolution Algorithm (DE) that is applied to the aerodynamic parameter identification and to replace Newton iterative gradient optimization in traditional maximum likelihood method, to identification aerodynamic parameters of high-speed spinning projectiles. And the canalizations of the aerodynamic identification parameters are given for high-speed spinning projectiles with sensitivity calculation. Through simulation calculation prove that the identification result of this method is more stable. And use the method of back calculating trajectory show the effective performance, fast convergence speed, strong global optimization ability, high accuracy and low-sensitive to initial values with the proposed method.
HOU Xianqin , WANG Liangming , FU Jian . Application of Differential Evolution Intelligent Algorithm in High-vibration Aerodynamic Identification[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2020 , 40(3) : 103 -107 . DOI: 10.15892/j.cnki.djzdxb.2020.03.024
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