Sensorless Control Based on Extended-EMF Using Current Oversampling for PMSM

This paper proposes a novel approach to estimate extended electromotive force (EEMF) using current oversampling. By combining the oversampled current with the modeled inverter voltage, it becomes possible to estimate EEMF even during the pulse width modulation (PWM) cycle. This technique enhances the signal-to-noise ratio of the position estimator and improves its accuracy compared to conventional method. Normally, noise effects limit phase-locked loop (PLL) and auto speed regulator (ASR) bandwidth. The proposed method reduces this limitation. Experimental results confirm the proposed method's effectiveness by showing its tolerance to load at low speed, where EEMF is low, and position estimation accuracy is diminished.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/ecceeurope62508.2024.10751900
Citations
1
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensorless Control Based on Extended-EMF Using Current Oversampling for PMSM

Ryosuke Morita, Toshimitsu Aizawa, Takeshi Shibayama, Sari Maekawa
1 citations
Magnetic Field Sensors Techniques
0.21
article

Sensorless Control Based on Extended-EMF Using Current Oversampling for PMSM

Ryosuke Morita, Toshimitsu Aizawa, Takeshi Shibayama, Sari Maekawa
article en
1 citations

Abstract

This paper proposes a novel approach to estimate extended electromotive force (EEMF) using current oversampling. By combining the oversampled current with the modeled inverter voltage, it becomes possible to estimate EEMF even during the pulse width modulation (PWM) cycle. This technique enhances the signal-to-noise ratio of the position estimator and improves its accuracy compared to conventional method. Normally, noise effects limit phase-locked loop (PLL) and auto speed regulator (ASR) bandwidth. The proposed method reduces this limitation. Experimental results confirm the proposed method's effectiveness by showing its tolerance to load at low speed, where EEMF is low, and position estimation accuracy is diminished.

Toshiba (Japan) (JP), Meiji University (JP)
Affordable and clean energy
Openalex Percentile: Top 46%
Magnetic Field Sensors Techniques
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.