Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204)
DOI: 10.1109/cca.2001.973945
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Sensorless direct torque and stator flux control of induction machines using an extended Kalman filter

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Cited by 11 publications
(10 citation statements)
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“…Rotor speed has been considered as a constant by many researchers in speed estimation problem (Schauder, 1992;Tajima & Hori, 1993;Peng & Fukao, 1994;Kim et al, 1994;Comnac et al, 2001;Ma & Gui, 2002;Du et al, 1995;Minami et al, 1991;Veleyez-Reyes & Verghese., 1992;Veleyez-Reyes et al, 1989). The idea is that the speed changes slowly compared to electrical variables.…”
Section: Speed Estimationmentioning
confidence: 99%
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“…Rotor speed has been considered as a constant by many researchers in speed estimation problem (Schauder, 1992;Tajima & Hori, 1993;Peng & Fukao, 1994;Kim et al, 1994;Comnac et al, 2001;Ma & Gui, 2002;Du et al, 1995;Minami et al, 1991;Veleyez-Reyes & Verghese., 1992;Veleyez-Reyes et al, 1989). The idea is that the speed changes slowly compared to electrical variables.…”
Section: Speed Estimationmentioning
confidence: 99%
“…In (Schauder, 1992;Tajima & Hori, 1993;Peng & Fukao, 1994) speed was estimated using model reference adaptive system considering it as an unknown constant parameter. In (Kim et al, 1994;Comnac et al, 2001;Ma & Gui, 2002;Du et al, 1995) the speed was considered as an unknown constant state of the machine and extended kalman filter (EKF) was used to estimate it. Recursive least square estimation method was used in (Minami et al, 1991;Veleyez-Reyes & Verghese, 1992;Veleyez-Reyes et al, 1989) for speed estimation considering speed as an unknown constant parameter and found out the value of estimated speed that best fits the measured and calculated data in the dynamic equations of the motor.…”
Section: Speed Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…Several review and comparison papers are available on sensorless control techniques [4][5][6][7]. The commonly used methods for speed estimation are Model Reference Adaptive System (MRAS) [8][9][10][11], Neural Networks [12][13][14][15][16][17][18][19], Extended Kalman Filter (EKF) [20][21][22][23][24][25] and Nonlinear Observer [26][27][28][29]. Techniques for high performance induction motor control implementation requin; precise knowledge of machine parameters, and the rotor resistance being the most important of them.…”
Section: Research Problemmentioning
confidence: 99%
“…In [8][9][10] speed was estimated using MRAS considering it as an unknown constant parameter. In [20][21][22][23] the speed was considered as an unknown constant state of the machine and EKF was used to estimate it. Recursive Least Square Estimation method was used in [59][60][61] for speed estimation considering speed as an unknown constant parameter and found out the value of estimated speed that best fits the measured and calculated data to the dynamic equations of the motor.…”
Section: Speed Estimationmentioning
confidence: 99%