Study on the Application of Improved Artificial Fish Swarm Algorithm in the Initial Alignment of the SINS

Zhen Yu Zheng; Yan Bin Gao; Kun Peng He

doi:10.4028/www.scientific.net/AMM.263-266.2277

Paper Titles

Exploration of Situation Comprehension with Complex Networks
p.2258

Uncertain Reliability of a Series System via Non-Linear Programming
p.2263

A Mallat Based Wavelet ECG De-Noising Algorithm
p.2267

Research of P2P Searching Technology Based on Distributed Hash Table
p.2271

Study on the Application of Improved Artificial Fish Swarm Algorithm in the Initial Alignment of the SINS
p.2277

Research of Dynamic Parameters Design on Genetic Algorithm
p.2282

An Improvement Research of SWOT Method Based on Analytic Hierarchy Process
p.2287

Spare Parts Support Model Optimization Algorithm
p.2291

A Combinatorial Algorithm for Generalized Maximum Flow Problem in Lossy Network
p.2295

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Study on the Application of Improved Artificial...

Study on the Application of Improved Artificial Fish Swarm Algorithm in the Initial Alignment of the SINS

Abstract:

In the process of inertial alignment for an strapdowm inertial navigation system(SINS) on stationary base , the azimuth error’s poor observability leads to its long alignment time . In order to solve the problem,the paper considers inertial alignment as an optimizing process with the application of improved artificial fish swarm algorithm.Simulation results show that improved artificial fish swarm algorithm has rapidly,global and local optimizing characteristics.After applicating on SINS initial alignment,alignment accuracy is almost the same as the limited precision,however,the azimuth alignment times are greatly reduced.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2277-2281

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2277

Citation:

Cite this paper

Online since:

December 2012

Authors:

Zhen Yu Zheng, Yan Bin Gao, Kun Peng He

Keywords:

Artificial Fish-Swarm Algorithm (AFSA), Initial Alignment, Strapdown Inertial Navigation System

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] Wu Y, Zhang H,Wu M: Observability of SINS Alignment:A Global Perspective.IEEE Transaction on Aerospace and Electronic Systems ,2010.

Google Scholar

[2] Han S,Wang J: A Novel Initial Alignment Method for GPS/INS Integration with Large Initial Heading Error. ION GNSS 2009,Session B5: GNSS-Inertial Navigation Systems 2.

Google Scholar

[3] Xiaolei Li,Zhijiang Shao,Jinxin Qian: An Optimizing Method Based on Autonomous Animats: Fish-swarm Algorithm.Systems Engineering –Theory and practice，2002，22（11）:32-38.

Google Scholar

[4] Bonabeaue, Theraulaz G: Swarm smarts.Scientific American, 2000,282(3):72-79.

Google Scholar

[5] Xiaolei Li,,Fei Lu,Guohui Tian,Jinxin Qian:Applications of artificial fish school algorithm incombinatorial optimization problems. Journal of ShanDong University(Engineering Science) .2004,34(5), Pages :64-67.

Google Scholar

[6] Yan Gong-min ,Qin Yong-yuan:Initial Alignment Accuracy Analysis and Simulation of Strapdown Inertial Navigation System on Stationary Base.2006,23(10):36-40.

Google Scholar