Two-Objective Optimization Design for Pulsed Power Supply
被引:11
作者:
Zhengjun, Shi
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Zhengjun, Shi
[1
]
Xinjie, Yu
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R ChinaTsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
Xinjie, Yu
[1
]
机构:
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
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.