2021
DOI: 10.1007/s43236-021-00325-6
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Speed-sensorless control of induction motors based on adaptive EKF

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Cited by 5 publications
(2 citation statements)
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“…However, due to its reliance on the salient polarity of the motor, this method often fails for surface permanent magnet synchronous motors (SPMSM) with weak salient polarity. The estimation methods based on back EMF primarily consist of a model reference adaptive system [ 9 ], sliding mode observer [ 10 ], extended Kalman filter observer [ 11 ], etc. These methods obtain rotor position data using the back-EMF mathematical model of the motor, which is better suited for providing precise estimates at medium and high speeds [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, due to its reliance on the salient polarity of the motor, this method often fails for surface permanent magnet synchronous motors (SPMSM) with weak salient polarity. The estimation methods based on back EMF primarily consist of a model reference adaptive system [ 9 ], sliding mode observer [ 10 ], extended Kalman filter observer [ 11 ], etc. These methods obtain rotor position data using the back-EMF mathematical model of the motor, which is better suited for providing precise estimates at medium and high speeds [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…In recent studies on the estimation and identification of IM parameters using KF and its extensions, speed estimation of IM for employing speed sensorless control has been considerable [23,[28][29][30][31][32][33]. Table 1 presents a brief review of some studies of various types of KFs used to estimate IM parameters.…”
Section: Introductionmentioning
confidence: 99%