A study on improving the state estimation of induction motor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-01815-5.pdf
Reference41 articles.
1. Yildiz R, Barut M, Demir R (2020) Extended Kalman filter based estimations for improving speed-sensored control performance of induction motors. IET Electr Power Appl 14(12):2471–2479. https://doi.org/10.1049/iet-epa.2020.0319
2. Mohan H, Pathak MK, Dwivedi SK (2020) Sensorless control of electric drives—a technological review. IETE Tech Rev 37(5):504–528. https://doi.org/10.1080/02564602.2019.1662738
3. Zerdali E, Demir R (2021) Speed-sensorless predictive torque controlled induction motor drive with feed-forward control of load torque for electric vehicle applications. Turk J Electr Eng Comput Sci 29(1):223–240. https://doi.org/10.3906/elk-2005-75
4. Aguilera F, de la Barrera PM, De Angelo CH (2022) Speed and current sensor fault-tolerant induction motor drive for electric vehicles based on virtual sensors. Electr Eng 104(5):3157–3171. https://doi.org/10.1007/s00202-022-01541-4
5. Özdemir S (2020) A new stator voltage error-based MRAS model for field-oriented controlled induction motor speed estimation without using voltage transducers. Electr Eng 102(4):2465–2479. https://doi.org/10.1007/s00202-020-01043-1
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1. Compensation of Current Sensor Faults in Vector-Controlled Induction Motor Drive Using Extended Kalman Filters;Electronics;2024-02-03
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