125 / 2021-06-18 14:22:12
Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method
Permanent Magnet Synchronous Linear Motor, Parameter Identification, Multi-innovation Least Squares
终稿
Su-Dan Huang / Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots; College of Mechatronics and Control Engineering; Shenzhen University
This paper proposes a parameter identification method of dynamics models for permanent magnet synchronous linear motors (PMSLMs) to improve the accuracy of modelling of PMSLMs. A linear discrete transfer function of the PMSLM is first presented. Combining the recursive least squares method (RLSM) and multi-innovation least square method (MILSM), the parameters of the linear dynamics model are then identified. Simulation is performed using RLSM with or without MILSM. Simulation results are given and compared. The effectiveness of the proposed method is verified finally.
重要日期
  • 会议日期

    07月01日

    2021

    07月04日

    2021

  • 07月03日 2021

    报告提交截止日期

  • 11月03日 2021

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
协办单位
University of Sydney, Australia
Southwest Jiaotong University, China
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询