Research on sensorless control of HSPMSM based on a discrete full-order sliding mode observer
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作者:
Fan, Shengwen
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机构:
Univ Sci & Technol Beijing, Beijing 100083, Peoples R China
North China Univ Technol, Power Elect & Motor Drive Engn Res Ctr, Beijing 100144, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Fan, Shengwen
[1
,2
]
Tan, Jingge
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机构:
North China Univ Technol, Power Elect & Motor Drive Engn Res Ctr, Beijing 100144, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Tan, Jingge
[2
]
Shao, Yin
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North China Univ Technol, Power Elect & Motor Drive Engn Res Ctr, Beijing 100144, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Shao, Yin
[2
]
Tong, Chaonan
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机构:
Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaUniv Sci & Technol Beijing, Beijing 100083, Peoples R China
Tong, Chaonan
[1
]
机构:
[1] Univ Sci & Technol Beijing, Beijing 100083, Peoples R China
[2] North China Univ Technol, Power Elect & Motor Drive Engn Res Ctr, Beijing 100144, Peoples R China
High-speed permanent magnet synchronous motor;
EMF adaptive full -order sliding mode observer;
Synchronous fundamental;
frequency extraction filter;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
To address the inaccuracy of the observed rotor position caused by the large estimated back-electromotive force harmonics of the high-speed permanent magnet synchronous motor (HSPMSM) under the conventional sliding mode observer, this paper presents an adaptive full-order sliding mode observer for back-electromotive force (EMF) based on the accurate mathematical model of the HSPMSM in the discrete-time domain. The accuracy of the sliding mode observer is improved under high-speed operating conditions by using the proposed method. To further reduce the harmonic component of the observed back EMF, a synchronous fundamental frequency extraction filter (SFEF) is used to obtain the back EMF, and then, the extracted observed EMF is fed in;to the normalized phase-locked loop to obtain the rotor position. The simulation results in Matlab are presented to demonstrate the feasibility and effectiveness of the proposed method. (c) 2023 Published by Elsevier Ltd. This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).