An in-phase filter-based flux observation strategy for sensorless control of PMSMs

Due to the complexity of determining the initial rotor flux and detecting errors, conventional rotor flux observation methods are easily affected by direct current (DC) components and harmonics. To address this issue, this paper proposes an in-phase filter (IPF)-based rotor flux observation strategy for sensorless control of permanent magnet synchronous machines (PMSMs). The core components of the IPF consist of a double second-order generalized integrator (DSOGI) and a phase angle compensation transfer function (PACTF). The DSOGI provides a accurate electrical angular frequency, while the PACTF implements a phase correction to the v<sub>q</sub><sup>'</sup> signals. By employing IPF structure, accurate observations for rotor flux, electronic speed, and rotor position are achieved, which can be effectively used in the sensorless control of PMSMs, eliminating the need for magnitude and phase compensations. Finally, the proposed observation strategy is applied to an experimental bench of a PMSM, and its effectiveness is illustrated by experimental results. From experimental results, it can be concluded that the IPF is significantly better than the LPF, and 5% more accurate than the observer based on cascade second-order generalized integral(CSOGI) overall.

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Publication Details

Journal
ISA Transactions
Published
2024-10-03
DOI
https://doi.org/10.1016/j.isatra.2024.09.030
Citations
3
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.63
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article

An in-phase filter-based flux observation strategy for sensorless control of PMSMs

Yanhui Tong, Hamid Reza Karimi, Bixuan Huang, Lei Zheng
3 citations
ISA Transactions
Sensorless Control of Electric Motors
0.63
article

An in-phase filter-based flux observation strategy for sensorless control of PMSMs

Yanhui Tong, Hamid Reza Karimi, Bixuan Huang, Lei Zheng
article en
3 citations

Abstract

Due to the complexity of determining the initial rotor flux and detecting errors, conventional rotor flux observation methods are easily affected by direct current (DC) components and harmonics. To address this issue, this paper proposes an in-phase filter (IPF)-based rotor flux observation strategy for sensorless control of permanent magnet synchronous machines (PMSMs). The core components of the IPF consist of a double second-order generalized integrator (DSOGI) and a phase angle compensation transfer function (PACTF). The DSOGI provides a accurate electrical angular frequency, while the PACTF implements a phase correction to the v<sub>q</sub><sup>'</sup> signals. By employing IPF structure, accurate observations for rotor flux, electronic speed, and rotor position are achieved, which can be effectively used in the sensorless control of PMSMs, eliminating the need for magnitude and phase compensations. Finally, the proposed observation strategy is applied to an experimental bench of a PMSM, and its effectiveness is illustrated by experimental results. From experimental results, it can be concluded that the IPF is significantly better than the LPF, and 5% more accurate than the observer based on cascade second-order generalized integral(CSOGI) overall.

ISA TransactionsVol. 155
Shanghai University of Engineering Science (CN), Shanghai Jiao Tong University (CN), Politecnico di Milano (IT)
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Openalex Percentile: Top 31%
Sensorless Control of Electric Motors
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An in-phase filter-based flux observation strategy for sensorless control of PMSMs — Yanhui Tong, Hamid Reza Karimi, et al. · ISA Transactions (2024) | TGRS Research Map | TGRS