Two-Objective Optimization Design for Pulsed Power Supply

被引:11
|
作者
Zhengjun, Shi [1 ]
Xinjie, Yu [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Genetic algorithms; optimization; pulsed power supply (PPS); railgun; RAILGUN; SYSTEM;
D O I
10.1109/TMAG.2008.2008543
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 10(6) m/s(2). 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-objectin optimization design model of PPS, among which the "best" one is to be extracted according to the designer's requirements.
引用
收藏
页码:525 / 530
页数:6
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