Paper
10 October 2023 Wind identification of rotating projectile using improved multi-objective particle swarm optimization
Dingye Zhang, Wenjun Yi
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279904 (2023) https://doi.org/10.1117/12.3006618
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
Wind has an important effect on the ballistic characteristics of the uncontrolled projectile. Without obtaining the wind velocity information during the projectile flight, it is difficult to estimate the impact positions of the projectile accurately. To further improve the accuracy of wind speed estimation and trajectory prediction during projectile flight, a novel rotating projectile wind speed identification method based on a multi-objective chaotic adaptive particle swarm optimization algorithm is proposed. Based on the four-degree-of-freedom (4D) kinematic model of the rotating projectile, three aerodynamic parameters coefficients are selected as reference variables, three target functions are defined using the mean-square error (MSE), and two components of the wind velocity along the ground coordinate system are used as decision variables to identify the two wind components. Numerical simulations of the wind speed identification process under variable wind conditions show that the method can effectively and accurately estimate the wind values during the flight of rotating projectiles.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dingye Zhang and Wenjun Yi "Wind identification of rotating projectile using improved multi-objective particle swarm optimization", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279904 (10 October 2023); https://doi.org/10.1117/12.3006618
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wind speed

Particle swarm optimization

Aerodynamics

Detection and tracking algorithms

Computer simulations

Data modeling

Statistical analysis

Back to Top