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• W3195896501 abstract "The identification of dynamic model parameters of the permanent magnet synchronous linear motors (PMSLMs) is the foundation of high-performance motor control. To address the low accuracy of modelling of PMSLMs, a parameter identification method of the PMSLM is proposed by using multi-innovation least squares (MILS) approach in this paper. The linear transfer function of the PMSLM is first built. Then the MILS approach based on the recursive least squares (RLS) algorithm is developed to identify the parameters of the built model. Finally, the simulation results of MILS and RLS algorithms are shown, and the effectiveness of the proposed method is verified." @default.
• W3195896501 created "2021-08-30" @default.
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• W3195896501 date "2021-07-01" @default.
• W3195896501 modified "2023-09-23" @default.
• W3195896501 title "Parameter Identification of Permanent Magnet Synchronous Linear Motors Using Multi-Innovation Least Squares Method" @default.
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• W3195896501 doi "https://doi.org/10.1109/ldia49489.2021.9505920" @default.
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