Extended Kalman Filter Based Speed-Sensorless Load Torque and Inertia Estimations with Observability Analysis for Induction Motors Cover

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Extended Kalman Filter Based Speed-Sensorless Load Torque and Inertia Estimations with Observability Analysis for Induction Motors

Power Electronics and Drives

Volume 3 (2018): Issue 1 (December 2018)

By: Emrah Zerdali and Murat Barut

Open Access

|Nov 2018

Authors

Emrah Zerdali

ezerdali@ohu.edu.tr

Niğde Ömer Halisdemir University, Faculty of Engineering, Electrical & Electronics Engineering Department Niğde,, Merkez/Niğde, Turkey

Murat Barut

mbarut@ohu.edu.tr

Niğde Ömer Halisdemir University, Faculty of Engineering, Electrical & Electronics Engineering Department Niğde,, Merkez/Niğde, Turkey

DOI: https://doi.org/10.2478/pead-2018-0002 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 115 - 127

Submitted on: Aug 21, 2017

Accepted on: Feb 16, 2018

Published on: Nov 17, 2018

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Extended Kalman filter,

Induction motor,

Load torque and inertia estimation,

Speed-sensorless control,

Observability analysis

Related subjects:

Computer sciences,

Artificial intelligence,

Electrical engineering,

© 2018 Emrah Zerdali, Murat Barut, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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