Title :
Two-Objective Optimization Design for Pulsed Power Supply
Author :
Zhengjun, Shi ; Xinjie, Yu
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2008.2008543