Presentation Details
Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method
ID：125
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Updated Time：2021-06-29 09:38:50
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Poster Presentation
Start Time：2021-07-02 14:45（Asia/Shanghai）
Duration：1min
Session：SP Poster Session »
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
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Important Date
-
Conference Date
Jul 01
2021
toJul 04
2021
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Jul 03 2021
Contribution Submission Deadline
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Nov 03 2021
Registration deadline
Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
Southwest Jiaotong University, China
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