Comparison between UKF and EKF in Sensorless Synchronous Reluctance Motor Drives
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In: IEEE Open Journal of Power Electronics, Vol. 5, 2024, p. 1562-1572.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Comparison between UKF and EKF in Sensorless Synchronous Reluctance Motor Drives
AU - Rigon, Saverio
AU - Haus, Benedikt
AU - Mercorelli, Paolo
AU - Zigliotto, Mauro
N1 - Publisher Copyright: © 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - The reduction of the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRMs). Known for their affordability, SynRMs are increasingly employed in sensorless AC drives. This paper presents a critical comparison of sensorless algorithms based on two nonlinear Kalman Filters (Unscented and Extended). The objective is to highlight the theoretical and practical advantages and drawbacks of each method when applied to the speed control of a SynRM, culminating in a definitive decision on the best choice. The magnetic model of the SynRM is much more nonlinear than that of induction motors, which are predominantly addressed in existing literature. This study aims to fill the gap by answering the question: 'Is the extended Kalman filter still the best choice even in the case of nonlinear electric motors?' The answer comes through a large batch of experiments, including speed and load torque tests, zero-speed standstill starts, parameter sensitivity, and evaluation of computational burdens for both Kalman filter algorithms.
AB - The reduction of the human environmental footprint can be achieved through the use of more efficient motors, such as synchronous reluctance motors (SynRMs). Known for their affordability, SynRMs are increasingly employed in sensorless AC drives. This paper presents a critical comparison of sensorless algorithms based on two nonlinear Kalman Filters (Unscented and Extended). The objective is to highlight the theoretical and practical advantages and drawbacks of each method when applied to the speed control of a SynRM, culminating in a definitive decision on the best choice. The magnetic model of the SynRM is much more nonlinear than that of induction motors, which are predominantly addressed in existing literature. This study aims to fill the gap by answering the question: 'Is the extended Kalman filter still the best choice even in the case of nonlinear electric motors?' The answer comes through a large batch of experiments, including speed and load torque tests, zero-speed standstill starts, parameter sensitivity, and evaluation of computational burdens for both Kalman filter algorithms.
KW - AC machines
KW - Extended Kalman Filter
KW - Kalman Filter
KW - Sensorless
KW - Synchronous Reluctance Motor (SynRM)
KW - Unscented Kalman Filter
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85205300938&partnerID=8YFLogxK
U2 - 10.1109/OJPEL.2024.3469533
DO - 10.1109/OJPEL.2024.3469533
M3 - Journal articles
AN - SCOPUS:85205300938
VL - 5
SP - 1562
EP - 1572
JO - IEEE Open Journal of Power Electronics
JF - IEEE Open Journal of Power Electronics
SN - 2644-1314
ER -