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10 October 2023 Particle swarm optimization algorithm variant: applying to the parameter identification of the projectile
Youran Xia, Dandan Yuan, Wenjun Yi
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Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279902 (2023) https://doi.org/10.1117/12.3006399
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
Aerodynamic parameters play a key role in determining the trajectory and stability of projectiles. In order to weaken the impact of the projectile movement model, the PSO variant named chaos adaptive mutation PSO with a stated based adaptive velocity limit (CAMPSO-SAVL) is applied to solve the projectile identification equation (based on maximum likelihood criterion), and output the optimal estimation of aerodynamic parameters. Ballistic reconstruction is carried out based on the identification results. The reconstruction results show that the identification results of CAMPSO-SAVL have excellent accuracy and can meet the engineering needs.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Youran Xia, Dandan Yuan, and Wenjun Yi "Particle swarm optimization algorithm variant: applying to the parameter identification of the projectile", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279902 (10 October 2023); https://doi.org/10.1117/12.3006399
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KEYWORDS
Aerodynamics
Particle swarm optimization
Data modeling
Engineering
Chaos
Artificial neural networks
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