DocumentCode :
2614913
Title :
Optimization with sequential GA and dynamic force analysis of capacitor-driven inductive coilgun
Author :
Guo, Ningning ; Wang, Shuhong ; Qiu, Jie ; Zhu, Jian Guo ; Guo, Youguang
Author_Institution :
Fac. of Electr. Eng., Xi´´an Jiaotong Univeristy, Xi´´an, China
fYear :
2010
fDate :
9-12 May 2010
Firstpage :
1
Lastpage :
1
Abstract :
This paper presents an improved method based on Current Hoop Model for the analysis and design of capacitor-driven induction coilgun. For the optimal design, the sequential Genetic Algorithm (GA) method and traditional GA are used. The resultant specifications and characteristics of a six-stage coilgun are obtained by these methods. The comparisons of two optimization methods on the results, characteristics and elapse time are presented. However, the force acting upon the coils and projectile may cause distortion or even destruction. The force distributions of exciting coils and projectile are given to validate the feasibility of the optimized results.
Keywords :
capacitors; design; electromagnetic launchers; genetic algorithms; Current Hoop model; capacitor-driven induction coilgun design; capacitor-driven inductive coilgun; dynamic force analysis; genetic algorithm; optimal design; optimization; sequential GA; Analytical models; Coilguns; Coils; Design optimization; Genetic algorithms; Lorentz covariance; Magnetic analysis; Projectiles; Tensile stress; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
Type :
conf
DOI :
10.1109/CEFC.2010.5481810
Filename :
5481810
Link To Document :
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