Research on the coefficients identification of submarine training simulator based on particle swarm optimization

Author

Lin, Zhao ; Yi, Zhu ; Yanhong, Tang ; Ming, Li

Author_Institution

Harbin Eng. Univ., Harbin

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

864

Lastpage

867

Abstract

Due to the 108 hydrodynamic coefficients of the 6 DOF submarine space motion equation are hard to acquire accurately, this paper simplify and identify the model using the particle swarm optimization based on sensitivity index of the coefficients. We define the manipulate evaluation, determine the mathematical expression of the identification, restrict the type, range, field of definitions and evaluation function of the manipulate experiment. Improve the particle swarm optimization algorithm based on the sensitivity index. Through a mount of simulation calculation, this paper modifies the hydrodynamic coefficients of equations of submarine training simulator.

Keywords

hydrodynamics; motion control; particle swarm optimisation; underwater vehicles; coefficients identification; hydrodynamic coefficients; particle swarm optimization; sensitivity index; submarine space motion equation; submarine training simulator; Birds; Computational modeling; Educational institutions; Hydrodynamics; Marine animals; Multidimensional systems; Nonlinear equations; Particle swarm optimization; Predictive models; Underwater vehicles; coefficients identification; particle swarm optimization; sensitivity index; submarine training simulator;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810628

Filename

4810628