Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method
编号:125 访问权限:公开 更新:2021-06-29 09:38:50 浏览:379次 张贴报告

报告开始:2021年07月02日 14:45(Asia/Shanghai)

报告时间:1min

所在会场:[SP] Poster Session [P1] Poster Session 1 & 2

摘要
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.
关键词
Permanent Magnet Synchronous Linear Motor, Parameter Identification, Multi-innovation Least Squares
报告人
Mou Hongda

Hongda Mou is a graduate student from Shenzhen University. He is mainly engaged in the research of motor research in the field of chip manufacturing and rail transportation. He mainly studies the control and application of permanent magnet synchronous linear motors, magnetic levitation planar motors, and planar switched reluctance motors.

稿件作者
Su-Dan Huang Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots; College of Mechatronics and Control Engineering; Shenzhen University
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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
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