Distance based Intelligent Particle Swarm Optimization for Optimal Design of Permanent Magnet Synchronous Machine

被引：0
|
作者：
Lee, Jin-Hwan [1 ]
Song, Jun-Young [1 ]
Kim, Jong-Wook [2 ]
Kim, Yong-Jac [3 ]
Jung, Sang-Yong [1 ]
机构：
[1] Sungkyunkwan Univ, Sch Elect & Elect Engn, Suwon, South Korea
[2] Dong A Univ, Dept Elect Engn, Busan, South Korea
[3] Chosun Univ, Dept Elect Engn, Gwangju, South Korea
来源：
2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC) | 2016年
关键词：
Optimal Design; Particle Swarm Optimization; Permanent Magnet Synchronous Machine;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this study, we propose a novel intelligent particle swarm optimization(PSO). In case of PSO, when particles approach to optimum point, particles roam near global optimum. Therefore, PSO takes unnecessary function call and long convergence time. In order to solve these problems, we propose distance based intelligent particle swarm optimization(DbIPSO). DbIPSO calculate distance of every particle and when distance is lower than assigned value, best particle absorbs near particles to reduce function call and convergence time. By applying proposed algorithm to optimal design of permanent magnet synchronous machine, we validate its effectiveness and performance.
引用
收藏
页数：1
相关论文
共 50 条
  • [21] Improved Particle Swarm Optimization for Parameter Identification of Permanent Magnet Synchronous Motor
    Zhou, Shuai
    Wang, Dazhi
    Ni, Yongliang
    Song, Keling
    Li, Yanming
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 79 (02): : 2187 - 2207
  • [22] Energy Enhancement of Permanent Magnet Synchronous Generators Using Particle Swarm Optimization
    Marisargunam, S.
    Kalaivani, L.
    Maheswari, R., V
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 33 (03): : 1711 - 1727
  • [23] A Modified Design of PID Controller for Permanent Magnet Synchronous Motor Drives Using Particle Swarm Optimization
    Baskin, Mehmet
    Caglar, Bulent
    2014 16TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE AND EXPOSITION (PEMC), 2014, : 388 - 393
  • [24] A Novel Social Insect Optimization Algorithm for the Optimal Design of an Interior Permanent Magnet Synchronous Machine
    Kwon, Hyuk-Sung
    Ro, Jong-Suk
    Jung, Hyun-Kyo
    IEEE TRANSACTIONS ON MAGNETICS, 2018, 54 (12)
  • [25] Design of the Particle Swarm Optimized PID For Permanent Magnet Synchronous Linear Motor
    Wang, Xudong
    Xia, Tao
    Xu, Xiaozuo
    Feng, Haichao
    2014 17TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2014, : 2289 - 2293
  • [26] Intelligent Design of Permanent Magnet Synchronous Motor Based on CBR
    Li, Cong
    Fan, Beibei
    6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018), 2018, 1967
  • [27] Optimal Design of a Special Permanent Magnet Synchronous Machine for Magnetocaloric Refrigeration
    Espanet, Christophe
    Kieffer, Christophe
    Mira, Amine
    Giurgea, Stefan
    Gustin, Frederic
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 5019 - 5025
  • [28] Optimal Design of Interior Permanent Magnet Synchronous Machine for Electric Spindle
    Pan, Zhicheng
    Yang, Kai
    Wei, XuBiao
    Zhu, Cheng
    Zhang, Yingli
    2014 17TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2014, : 2125 - 2130
  • [29] Parameter identification of permanent magnet synchronous motor based on modified- fuzzy particle swarm optimization
    Zhou, Shuai
    Wang, Dazhi
    Li, Ye
    ENERGY REPORTS, 2023, 9 : 873 - 879
  • [30] Multi-parameter identification of permanent magnet synchronous motor based on improved particle swarm optimization
    Liu X.-P.
    Hu W.-P.
    Zou Y.-L.
    Zhang Y.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2020, 24 (07): : 112 - 120
12345