• DocumentCode
    3189457
  • Title

    Two-Objective Optimization Design for Pulsed Power Supply

  • Author

    Zhengjun Shi ; Xinjie Yu

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    10-13 June 2008
  • Firstpage
    1
  • Lastpage
    6
  • 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 that (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 non-dominated sorting genetic algorithm (NSGA-II) under the integration environment of iSIGHTTM 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
    Pareto optimisation; genetic algorithms; pulsed power supplies; railguns; Pareto solution; armature; muzzle velocity; nondominated sorting genetic algorithm; pulsed power supply; stored-to-kinetic energy efficiency; two-objective optimization design; Acceleration; Constraint optimization; Delay; Design optimization; Energy efficiency; Genetic algorithms; Projectiles; Pulsed power supplies; Sorting; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Launch Technology, 2008 14th Symposium on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    978-1-4244-1832-9
  • Electronic_ISBN
    978-1-4244-1833-6
  • Type

    conf

  • DOI
    10.1109/ELT.2008.94
  • Filename
    4657654