Universal Speed and Flux Estimator for Induction Motor
Author:
Affiliation:
1. Wroclaw University of Science and Technology, Department of Electrical Machines, Drives and Measurements, Wroclaw , Poland
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/pead-2018-0007
Reference23 articles.
1. Alonge, F., Cangemi, T., D’Ippolito, F., Fagiolini, A. and Sferlazza, A. (2015). Convergence Analysis of Extended Kalman Filter for Sensorless Control of Induction Motor. IEEE Transactions on Industrial Electronics, 62(4), pp. 2341-2352.10.1109/TIE.2014.2355133
2. Auger, F., Hilairet, M., Guerrero, J. M., Monmasson, E., Orlowska-Kowalska, T. and Katsura, S. (2013). Industrial Applications of the Kalman Filter: A Review. IEEE Transactions on Industrial Electronics, 60(12), pp. 5458-5471.10.1109/TIE.2012.2236994
3. Barut, M. (2010). Bi-input-extended Kalman Filter- Based Estimation Technique for Speed-Sensorless Control of Induction Motors. Energy Conversion and Management, 51(10), pp. 2032-2040.10.1016/j.enconman.2010.02.037
4. Barut, M., Bogosyan, S. and Gokasan, M. (2008). Experimental Evaluation of Braided EKF for Sensorless Control of Induction Motors. IEEE Transactions on Industrial Electronics, 55(2), pp. 620-632.10.1109/TIE.2007.911956
5. Barut, M., Demir, R. and Inan, R. (2012). Real-Time Implementation of Bi Input-Extended Kalman Filter- Based Estimator for Speed-Sensorless Control of Induction Motors. IEEE Transactions on Industrial Electronics, 59(2), pp. 4197-4206.10.1109/TIE.2011.2178209
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