Stator-Flux-Linkage-Calculation-Based Maximum Efficiency Position Sensorless Vector Control of Synchronous Reluctance Motor Considering Iron loss and Cross-Magnetic Saturation

A new position sensorless vector control method allowing the SynRM to operate at maximum efficiency regardless of load and speed is presented. This method entails improving both position estimation accuracy and torque control accuracy by considering iron loss and inductance variations under a stator-flux-linkage-estimation-based loss minimization position sensorless vector control. The validity of this method is verified by experiments on a test machine. In addition, a method to compensate position estimation error caused by inductance variation due to cross-magnetic saturation is investigated. On the basis of some experiments, it is claimed that employing an approximation inductance function that accurately represents the actual inductance characteristics results in obtaining a high compensation effect for position estimation errors, regardless of whether the reciprocity characteristics of mutual inductance are taken into account or not.

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Publication Details

Journal
IEEJ Journal of Industry Applications
Published
2024-11-28
DOI
https://doi.org/10.1541/ieejjia.24004698
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.21
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article

Stator-Flux-Linkage-Calculation-Based Maximum Efficiency Position Sensorless Vector Control of Synchronous Reluctance Motor Considering Iron loss and Cross-Magnetic Saturation

Ryotaro Eto, Hideaki Hirahara, Shu Yamamoto, S Morimoto et al.
1 citations
IEEJ Journal of Industry Applications
Sensorless Control of Electric Motors
0.21
article

Stator-Flux-Linkage-Calculation-Based Maximum Efficiency Position Sensorless Vector Control of Synchronous Reluctance Motor Considering Iron loss and Cross-Magnetic Saturation

Ryotaro Eto, Hideaki Hirahara, Shu Yamamoto, S Morimoto, A. Nitta
article en
1 citations

Abstract

A new position sensorless vector control method allowing the SynRM to operate at maximum efficiency regardless of load and speed is presented. This method entails improving both position estimation accuracy and torque control accuracy by considering iron loss and inductance variations under a stator-flux-linkage-estimation-based loss minimization position sensorless vector control. The validity of this method is verified by experiments on a test machine. In addition, a method to compensate position estimation error caused by inductance variation due to cross-magnetic saturation is investigated. On the basis of some experiments, it is claimed that employing an approximation inductance function that accurately represents the actual inductance characteristics results in obtaining a high compensation effect for position estimation errors, regardless of whether the reciprocity characteristics of mutual inductance are taken into account or not.

IEEJ Journal of Industry ApplicationsVol. 14(2)
Kanto Junior College (JP), The Polytechnic University of Japan (JP), National Institute of Technology Okinawa College (JP)
Affordable and clean energy
Openalex Percentile: Top 46%
Sensorless Control of Electric Motors
0.21
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Stator-Flux-Linkage-Calculation-Based Maximum Efficiency Position Sensorless Vector Control of Synchronous Reluctance Motor Considering Iron loss and Cross-Magnetic Saturation — Ryotaro Eto, Hideaki Hirahara, et al. · IEEJ Journal of Industry Applications (2024) | TGRS Research Map | TGRS