[Poster Presentation]Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method

IMPORTANT DATES

Deadline for digest submission: Jan, 31, 2021
Notification of acceptance: Mar, 10, 2021
Full paper submission: May, 31, 2021

Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method

ID：125 Submission ID：125 View Protection：PUBLIC Updated Time：2021-06-29 09:38:50 Hits：472 Poster Presentation

Start Time：2021-07-02 14:45 （Asia/Shanghai）

Duration：1min

Session：[SP] Poster Session » [P1] Poster Session 1 & 2

Video Play Presentation File

Abstract

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.

Keywords

Permanent Magnet Synchronous Linear Motor， Parameter Identification， Multi-innovation Least Squares

Speaker

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.

Submission Author

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

WELCOME TO LDIA 2021