• 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