Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

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Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration. / Rigon, Saverio; Haus, Benedikt; Mercorelli, Paolo et al.
in: IEEE Open Journal of Power Electronics, 2025.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{5978a88e19ea4eac9f921a301e0f66d7,
title = "Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration",
abstract = "A substantial reduction in the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRM). As low-cost motors, SynRMs are commonly employed in sensorless AC drives. Sensorless algorithms based on the Extended Kalman Filter (EKF) offer several advantages, but they require a time-consuming trial-and-error tuning procedure. This paper proposes the automatic tuning of the EKF through a second Kalman Filter (KF) in a masterslave (MS) configuration. The two KFs work concurrently: the first estimates the required quantities for machine control, and the second updates the process noise statistics of the first KF. The second KF is much easier to tune, requiring only one non-critical parameter. Experimental results confirm the validity of this approach.",
keywords = "AC machines, Adaptive Kalman Filter, Kalman Filter, Master-Slave Kalman Filter, Sensorless, Synchronous Reluctance Motor (SynRM)",
author = "Saverio Rigon and Benedikt Haus and Paolo Mercorelli and Mauro Zigliotto",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE. All rights reserved.",
year = "2025",
doi = "10.1109/OJPEL.2025.3546752",
language = "English",
journal = "IEEE Open Journal of Power Electronics",
issn = "2644-1314",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

AU - Rigon, Saverio

AU - Haus, Benedikt

AU - Mercorelli, Paolo

AU - Zigliotto, Mauro

N1 - Publisher Copyright: © 2025 IEEE. All rights reserved.

PY - 2025

Y1 - 2025

N2 - A substantial reduction in the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRM). As low-cost motors, SynRMs are commonly employed in sensorless AC drives. Sensorless algorithms based on the Extended Kalman Filter (EKF) offer several advantages, but they require a time-consuming trial-and-error tuning procedure. This paper proposes the automatic tuning of the EKF through a second Kalman Filter (KF) in a masterslave (MS) configuration. The two KFs work concurrently: the first estimates the required quantities for machine control, and the second updates the process noise statistics of the first KF. The second KF is much easier to tune, requiring only one non-critical parameter. Experimental results confirm the validity of this approach.

AB - A substantial reduction in the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRM). As low-cost motors, SynRMs are commonly employed in sensorless AC drives. Sensorless algorithms based on the Extended Kalman Filter (EKF) offer several advantages, but they require a time-consuming trial-and-error tuning procedure. This paper proposes the automatic tuning of the EKF through a second Kalman Filter (KF) in a masterslave (MS) configuration. The two KFs work concurrently: the first estimates the required quantities for machine control, and the second updates the process noise statistics of the first KF. The second KF is much easier to tune, requiring only one non-critical parameter. Experimental results confirm the validity of this approach.

KW - AC machines

KW - Adaptive Kalman Filter

KW - Kalman Filter

KW - Master-Slave Kalman Filter

KW - Sensorless

KW - Synchronous Reluctance Motor (SynRM)

UR - http://www.scopus.com/inward/record.url?scp=85219473750&partnerID=8YFLogxK

U2 - 10.1109/OJPEL.2025.3546752

DO - 10.1109/OJPEL.2025.3546752

M3 - Journal articles

AN - SCOPUS:85219473750

JO - IEEE Open Journal of Power Electronics

JF - IEEE Open Journal of Power Electronics

SN - 2644-1314

ER -

DOI