An EKF-Based Estimator for the Speed Sensorless Vector Control of Induction Motors
Author:
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology
Link
http://www.tandfonline.com/doi/pdf/10.1080/15325000590896728
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3. Proca, A. B. and Keyhani, A. Identification of variable frequency induction motor models from operating data. IEEE Transactions on Energy Conversion. Vol. 17, March.
4. Al-Tayie, J. K. and Acarnley, P. P. Estimation of speed, stator temperature and rotor temperature in cage induction motor drive using the extended Kalman filter algorithm. IEE Proceedings—Electric Power Applications. Vol. 144, September. pp.pp. 301–309.
5. Different techniques for real time estimation of an induction motor rotor resistance in sensorless direct torque control for electric vehicle
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1. Extended Kalman filter based estimations for improving speed‐sensored control performance of induction motors;IET Electric Power Applications;2020-10-15
2. Novel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control;Transactions of the Institute of Measurement and Control;2017-11-28
3. Analysis of field-oriented controlled induction motor drives under sensor faults and an overview of sensorless schemes;ISA Transactions;2014-09
4. Industrial Applications of the Kalman Filter: A Review;IEEE Transactions on Industrial Electronics;2013-12
5. Real-Time Implementation of Bi Input-Extended Kalman Filter-Based Estimator for Speed-Sensorless Control of Induction Motors;IEEE Transactions on Industrial Electronics;2012-11
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