Abstract Details
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
Final Paper
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.
Important Date
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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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