The Full Rank Identification of DTP-PMSM Parameters

In order to solve the rank-deficient problem in the on-line parameter identification of Double-Three-Phase Permanent Magnet Synchronous Motor (DTP-PMSM), this paper proposes to adopt the two-time-scale approach (i.e., two identification algorithms with different sampling speeds update each other) to overcome the rank-deficient problem, so as to guarantee the accuracy and uniqueness of the identification results. The hybrid algorithm of double model reference adaptive system (MRAS) are analyzed theoretically. According to the above theoretical analysis, DTP-PMSM drive system is set up and system simulation verification is implemented. The results show that two-time-scale approach have high accuracy under direct torque control.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921158
Citations
1
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
Field-Weighted Citation Impact
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The Full Rank Identification of DTP-PMSM Parameters

Dajun Chen, Ruiwu Cao, Kai Wang, Xiang Li et al.
1 citations
Scientific Measurement and Uncertainty Evaluation
0.46
article

The Full Rank Identification of DTP-PMSM Parameters

Dajun Chen, Ruiwu Cao, Kai Wang, Xiang Li, Ning Jiang
article en
1 citations

Abstract

In order to solve the rank-deficient problem in the on-line parameter identification of Double-Three-Phase Permanent Magnet Synchronous Motor (DTP-PMSM), this paper proposes to adopt the two-time-scale approach (i.e., two identification algorithms with different sampling speeds update each other) to overcome the rank-deficient problem, so as to guarantee the accuracy and uniqueness of the identification results. The hybrid algorithm of double model reference adaptive system (MRAS) are analyzed theoretically. According to the above theoretical analysis, DTP-PMSM drive system is set up and system simulation verification is implemented. The results show that two-time-scale approach have high accuracy under direct torque control.

Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 25%
Scientific Measurement and Uncertainty Evaluation
0.46
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