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Position Sensorless Control Strategy Based on an Enhanced High Order Generalized Integrator Flux Observer for PMSM Drives
Indexado
WoS WOS:001304358100026
Scopus SCOPUS_ID:85198389542
DOI 10.1109/TPEL.2024.3425451
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



In the position sensorless control area of permanent magnet synchronous motor (PMSM), compared with back electromotive force method, the flux observer can realize a wider operating range because it is decoupled from speed. However, the traditional flux observer will bring about both dc bias problems caused by voltage or current detection error, and harmonics problems caused by converter nonlinearities, ultimately, these problems will significantly increase the position estimation error. Thus, an enhanced high-order generalized integrator flux observer (HOGIFO) method is proposed to obliterate the dc bias and substantially suppress the 5th and 7th harmonics on the estimation of active flux. Meanwhile, the stability is analyzed and the parameters tuning is also discussed for the HOGIFO. In addition, for improving the resonant frequency estimation performance, the double-axes involved frequency-locked loop is designed, it could achieve more accurate frequency tracking during dynamic process. Then, in order to facilitate engineering implementation, the S-domain transfer function of HOGIFO is discretized to the Z-domain. Finally, the validity of the proposed HOGIFO is verified by experiments on a 1.0-kW PMSM drive platform.

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Disciplinas de Investigación



WOS
Engineering, Electrical & Electronic
Scopus
Electrical And Electronic Engineering
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Wang, Junxiao - Zhejiang Univ Technol - China
Zhejiang University of Technology - China
2 Hu, Kailin - Zhejiang Univ Technol - China
Zhejiang University of Technology - China
3 Bo, Ying - Zhejiang Univ Technol - China
Zhejiang University of Technology - China
4 Wang, Fengxiang - CASSACA - China
Chinese Academy of Sciences - China
5 RODRIGUEZ-PEREZ, JOSE RAMON Hombre Universidad Nacional Andrés Bello - Chile

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Financiamiento



Fuente
National Natural Science Foundation of China
National Natural Science Foundation (NNSF) of China

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Agradecimientos



Agradecimiento
This work was supported by the National Natural Science Foundation (NNSF) of China under Grant 62273306 and Grant 52277070. Recommended for publication by Associate Editor Ralph Kennel.
This work was supported by National Natural Science Foundation (NNSF) of China under Grants 62273306 and 52277070. (Corresponding author: Junxiao Wang.) Junxiao Wang, Kailin Hu, and Ying Bo are with the Department of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China (e-mail: wjx2017@zjut.edu.cn; 2112103207@zjut.edu.cn; 211123030120@zjut.edu.cn).

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