您当前的位置：
首页 >
文章列表页 >
Iterative particle swarm optimization based parameter identification of lumped-parameter thermal network for permanent magnet synchronous motors
更新时间：2025-06-26

    • Iterative particle swarm optimization based parameter identification of lumped-parameter thermal network for permanent magnet synchronous motors

    • Electric Machines and Control   Vol. 28, Issue 1, Pages: 1-11(2024)

    • DOI：10.15938/j.emc.2024.01.001    

      CLC： TM341

    • Received：28 April 2023，

      Published：2024-01

    移动端阅览

  • MENG Zhijin, LIU Yuyang, CHEN Li. Iterative particle swarm optimization based parameter identification of lumped-parameter thermal network for permanent magnet synchronous motors[J]. Electric Machines and Control, 2024, 28(1): 1-11. DOI： 10.15938/j.emc.2024.01.001.

  •  
  •  

0

Views

98

下载量

2

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Rotor temperature estimation for permanent magnet synchronous motors in electric vehicles
Rotor position observation performance improvement strategy of IPMSM based on high frequency square wave injection
Speed sensorless control of PMSM based on position-error automatic counteraction
Research on composite sliding mode control strategy for sensorless PMSM control based on flux linkage observer
Research on improved incremental deadbeat current predictive control for PMSM

Related Author

ZHU Yuan
XIAO Ming-kang
LU Ke
SHI Qi-hui
WU Zhi-hong
MIAO Zhikun
LIU Fang
MENG Lingjun

Related Institution

1． 同济大学 汽车学院
． 同济大学 中德学院
School of Electrical Engineering and Automation, Hefei University of Technology
College of Electric and Information Engineering, Zhengzhou University of Light Industry
School of Electrical Engineering, Dalian University of Technology
0