Application of Elman Neural Network Based on Genetic Algorithm in Initial Alignment of SINS for Guided Projectile
Joint Authors
Wen-jun, Yi
Guan, Jun
Yuan, Dandan
Sun, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The purpose of this paper is to present an in-flight initial alignment method for the guided projectiles, obtained after launching, and utilizing the characteristic of the inertial device of a strapdown inertial navigation system.
This method uses an Elman neural network algorithm, optimized by genetic algorithm in the initial alignment calculation.
The algorithm is discussed in details and applied to the initial alignment process of the proposed guided projectile.
Simulation results show the advantages of the optimized Elman neural network algorithm for the initial alignment problem of the strapdown inertial navigation system.
It can not only obtain the same high-precision alignment as the traditional Kalman filter but also improve the real-time performance of the system.
American Psychological Association (APA)
Sun, Lei& Wen-jun, Yi& Yuan, Dandan& Guan, Jun. 2019. Application of Elman Neural Network Based on Genetic Algorithm in Initial Alignment of SINS for Guided Projectile. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196222
Modern Language Association (MLA)
Sun, Lei…[et al.]. Application of Elman Neural Network Based on Genetic Algorithm in Initial Alignment of SINS for Guided Projectile. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1196222
American Medical Association (AMA)
Sun, Lei& Wen-jun, Yi& Yuan, Dandan& Guan, Jun. Application of Elman Neural Network Based on Genetic Algorithm in Initial Alignment of SINS for Guided Projectile. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196222