Application of Genetic Algorithm to Design of Shock Isolator with Minimum Settling Time

Author

Meng, Zhang ; Zhen-san, Zhang ; Wen-qun, Zhang

Author_Institution

Dept. of Weapon Eng., Naval Univ. of Eng., Wuhan, China

Volume

1

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

645

Lastpage

648

Abstract

Shock isolator with minimum settling time (SIMST) is a vital device in military and civil use. At present, the design of SIMST draws a lot of attention. Because one of the indexes of SIMST is time variable other than state variable, there is no computation method given so far, and the design of SIMST mainly depends on experiments. In this paper, genetic algorithm is applied to the design. The genetic algorithm exhibits desirable properties in the complex search of Pareto set of SIMST parameters, and the solution is accurate by verification. Some important characteristics and design principles of SIMST are revealed for the first time in this paper.

Keywords

Pareto optimisation; design engineering; genetic algorithms; shock absorbers; Pareto set; SIMST design; genetic algorithm; shock isolator with minimum settling time; Algorithm design and analysis; Design engineering; Electric shock; Equations; Force control; Genetic algorithms; Genetic engineering; Isolators; Optimal control; Weapons; isolation; minimum settling time; shock;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3859-4

Type

conf

DOI

10.1109/IITA.2009.516

Filename

5370423