• DocumentCode
    1144414
  • Title

    Two-Objective Optimization Design for Pulsed Power Supply

  • Author

    Zhengjun, Shi ; Xinjie, Yu

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • Volume
    45
  • Issue
    1
  • fYear
    2009
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    A novel two-objective optimization design model for pulsed power supply (PPS) is proposed in this paper. The objectives are the muzzle velocity and the stored-to-kinetic energy efficiency. The design variables include the operating voltage and the trigger delay times between segments. The acceleration of the armature is constrained to lower than 106 m/s2. The optimization results for the muzzle velocity and the efficiency separately show the following: 1) The acceleration constraint has great influence on the performance; 2) wide current pulse yields high velocity but low efficiency; and 3) the operating voltage has to be increased to accelerate a heavier projectile to a certain velocity or at a certain efficiency. Pareto solution fronts for various projectile masses are found using the nondominated sorting genetic algorithm (NSGA-II) under the integration environment of iSIGHT software. Numerical results show that the NSGA-II can provide a set of feasible Pareto solutions for the two-objective optimization design model of PPS, among which the "best" one is to be extracted according to the designer\´s requirements.
  • Keywords
    genetic algorithms; projectiles; pulsed power supplies; railguns; NSGA-II; Pareto solution; acceleration constraint; armature; electromagnetic gun; iSIGHT software; muzzle velocity; nondominated sorting genetic algorithm; optimization design model; projectiles; pulsed power supply; railguns; stored-to-kinetic energy efficiency; Genetic algorithms; optimization; pulsed power supply (PPS); railgun;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2008.2008543
  • Filename
    4773645