Aerodynamic Parameter Estimation of a Symmetric Projectile Using Adaptive Chaotic Mutation Particle Swarm Optimization
Joint Authors
Wen-jun, Yi
Chang, Sijiang
Guan, Jun
Li, Xiaoyuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This article details a new optimizing algorithm called Adaptive Chaotic Mutation Particle Swarm Optimization (ACM-PSO).
The new algorithm is used to perform aerodynamic parameter estimation on a spinning symmetric projectile.
The main creative ideas of this new algorithm are as follows.
First, a self-adaptive weight function is used so that the inertial weight can be adjusted dynamically by itself.
Second, the initialized particle is generated by chaos theory.
Last, a method that can be used to judge whether the algorithm has fallen into a local optimum is established.
The common testing function is used to test the new algorithm, and the result shows that, compared with the basic particle swarm optimization (PSO) algorithm, it is more likely to have a quick convergence and high accuracy and precision, leading to extensive application.
Simulated ballistic data are used as testing data, and the data are subjected to the new algorithm to identify the aerodynamic parameters of a spinning symmetric projectile.
The result shows that the algorithm proposed in this paper can effectively identify the aerodynamic parameters with high precision and a quick convergence velocity and is therefore suitable for use in actual engineering.
American Psychological Association (APA)
Guan, Jun& Wen-jun, Yi& Chang, Sijiang& Li, Xiaoyuan. 2016. Aerodynamic Parameter Estimation of a Symmetric Projectile Using Adaptive Chaotic Mutation Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112372
Modern Language Association (MLA)
Guan, Jun…[et al.]. Aerodynamic Parameter Estimation of a Symmetric Projectile Using Adaptive Chaotic Mutation Particle Swarm Optimization. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112372
American Medical Association (AMA)
Guan, Jun& Wen-jun, Yi& Chang, Sijiang& Li, Xiaoyuan. Aerodynamic Parameter Estimation of a Symmetric Projectile Using Adaptive Chaotic Mutation Particle Swarm Optimization. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112372
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112372