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
相关论文
共 50 条
  • [41] A study on creation methodology of endurance test conditions for military vehicle using two-objective optimization
    Lee, Jeong-Hwan
    Ryu, Chi-Young
    Kang, Young-Jin
    Noh, Yoo-Jeong
    Kim, Jun-Won
    Kim, Hong-Chul
    Park, Hyun-Gyu
    Park, Jin-Han
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2025, 39 (03) : 1177 - 1190
  • [42] Utilization Optimization of Capacitive Pulsed Power Supply in Railgun
    Cao, Genrong
    Xiang, Hongjun
    Qiao, Zhiming
    Liang, Chunyan
    Yuan, Xichao
    Wang, Jin
    Lei, Bin
    ENERGIES, 2022, 15 (14)
  • [43] Optimization of Energy Transfer Efficiency for Pulsed Power Supply
    脉冲功率电源能量传递效率优化研究
    Xiong, Shi-Cheng (812105189@qq.com), 1600, Beijing Institute of Technology (40): : 790 - 796
  • [44] Improvement on the cyclic thermal shock resistance of the electronics heat sinks using two-objective optimization
    Mozafari, M.
    Lee, Ann
    Cheng, Shaokoon
    JOURNAL OF ENERGY STORAGE, 2022, 46
  • [45] Effective searching process used in obtaining Pareto solutions of two-objective network design problem
    Takahashi, N.
    Yamamoto, H.
    Akiba, T.
    Shingyochi, K.
    SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS, 2015, : 1801 - 1808
  • [46] Two-objective optimization strategies using the adjoint method and game theory in inverse natural convection problems
    Wong, J. C. -F.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2012, 70 (11) : 1341 - 1366
  • [47] PARAMETRIC MODELING AND TWO-OBJECTIVE OPTIMAL DESIGN OF LARGE-SCALE DOWNWIND FLEXIBLE BLADES
    Xu B.
    Li Z.
    Zhu Z.
    Cai X.
    Wang T.
    Zhao Z.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (03): : 147 - 154
  • [48] Design of the Power Supply for the Pulsed Electric Current Sintering
    Shi, Jiangtao
    Yao, Lei
    Ni, Binbin
    Chen, Qi
    Xie, Jianfeng
    Han, Xiaotao
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 4127 - 4131
  • [49] Design and testing of a 320 MW pulsed power supply
    Schillig, JB
    Boenig, HJ
    Ferner, JA
    Quissek, MK
    Bogdan, F
    Linhofer, GO
    Eichler, M
    Kasper, G
    Marek, RP
    Martin, JR
    IAS '97 - CONFERENCE RECORD OF THE 1997 IEEE INDUSTRY APPLICATIONS CONFERENCE / THIRTY-SECOND IAS ANNUAL MEETING, VOLS 1-3, 1997, : 1600 - 1607
  • [50] Design of High Voltage Pulsed Power Supply for HFRC
    Zhang, Ming
    Xuan, Jingjing
    Yang, Yong
    Rao, Bo
    Xiao, Jiapeng
    Zhang, Yixiong
    Peng, Yue
    Zhao, Yang
    Yu, Kexun
    Pan, Yuan
    IEEE TRANSACTIONS ON PLASMA SCIENCE, 2020, 48 (06) : 1688 - 1692