The algorithm of multi-objective optimization of PM synchronous motors

被引:5
|
作者
Knypinski, Lukasz [1 ]
Nowak, Lech [1 ]
机构
[1] Poznan Univ Tech, Inst Elect Engn & Elect, Poznan, Poland
来源
PRZEGLAD ELEKTROTECHNICZNY | 2019年 / 95卷 / 04期
关键词
multi-objective optimization; genetic algorithm; finite element method; permanent magnet synchronous motors;
D O I
10.15199/48.2019.04.46
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
This paper presents multi-objective algorithm for optimal designing of permanent magnet synchronous motors. The special attention is paid on the formulation the optimization problem, especially on the correct selection of the partial criteria which constitute multi-objective function and constraints. It is pointed out that connection of multimodal parameter (cogging torque) and unimodal parameter (electromagnetic torque) in one multi-objective compromise function can lead to erroneous operation of optimization algorithm. Therefore, decomposition of the optimization task into two-level is proposed. The optimization calculation has been executed for permanent magnet synchronous motor structure with hybrid excitation system.
引用
收藏
页码:242 / 245
页数:4
相关论文
共 50 条
  • [41] Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment
    Shim, Vui Ann
    Tan, Kay Chen
    Chia, Jun Yong
    Al Mamun, Abdullah
    EVOLUTIONARY COMPUTATION, 2013, 21 (01) : 149 - 177
  • [42] Multi-objective genetic algorithm for the optimization of a PV system arrangement
    Freitas, S.
    Serra, F.
    Brito, M. C.
    PROCEEDINGS OF THE ISES SOLAR WORLD CONFERENCE 2015, 2015, : 420 - 426
  • [43] A novel PSDE algorithm for multi-objective optimization
    Xu, Meiling
    Dong, Hongxin
    Ji, Zaidi
    Wang, Yiwen
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 2662 - 2667
  • [44] A Bi-population Multi-objective Algorithm for Continuous Multi-objective Optimization Problem
    Chen, Lili
    Wang, Hongfeng
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 4830 - 4833
  • [45] MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
    Jangir, Pradeep
    Buch, Hitarth
    Mirjalili, Seyedali
    Manoharan, Premkumar
    EVOLUTIONARY INTELLIGENCE, 2023, 16 (01) : 169 - 195
  • [46] A new optimization algorithm for multi-objective Economic/Emission Dispatch
    Niknam, Taher
    Mojarrad, Hasan Doagou
    Firouzi, Bahman Bahmani
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 46 : 283 - 293
  • [47] Multi-Objective Optimization Algorithm to the Analyses of Diabetes Disease Diagnosis
    Anusha, M.
    Sathiaseelan, J. G. R.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (01) : 485 - 488
  • [48] Multi-objective comprehensive teaching algorithm for multi-objective optimisation design of permanent magnet synchronous motor
    Sun, Changle
    Wen, Feng
    Xiong, Wei
    Wang, Haitao
    Shang, Hongxu
    IET ELECTRIC POWER APPLICATIONS, 2020, 14 (13) : 2564 - 2576
  • [49] Water cycle algorithm for solving multi-objective optimization problems
    Sadollah, Ali
    Eskandar, Hadi
    Bahreininejad, Ardeshir
    Kim, Joong Hoon
    SOFT COMPUTING, 2015, 19 (09) : 2587 - 2603
  • [50] Multi-Objective Optimization of Permanent Magnet Synchronous Motor Based on Elite Retention Hybrid Simulated Annealing Algorithm
    Cao, Xuejing
    Li, Guoli
    Ye, Qiubo
    Zhou, Rui
    Ma, Guang
    Zhou, Fangfang
    PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 535 - 540