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: © 2020 IEEE.

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 -