A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter

Jongkwang Kim; Yongkeun Lee; Janghyeon Lee

doi:10.1109/TENCON.2016.7848616

A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter

Jongkwang Kim, Yongkeun Lee, Janghyeon Lee

Dept. of Semiconductor Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3087-3090
Number of pages	4
ISBN (Electronic)	9781509025961
DOIs	https://doi.org/10.1109/TENCON.2016.7848616
State	Published - 8 Feb 2017
Event	2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore Duration: 22 Nov 2016 → 25 Nov 2016

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2016 IEEE Region 10 Conference, TENCON 2016
Country/Territory	Singapore
City	Singapore
Period	22/11/16 → 25/11/16

Keywords

extended kalman filter
induction motor
rotor flux
rotor speed
sensorless indirect vector control

Access to Document

10.1109/TENCON.2016.7848616

Cite this

Kim, J., Lee, Y., & Lee, J. (2017). A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 3087-3090). Article 7848616 (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7848616

Kim, Jongkwang ; Lee, Yongkeun ; Lee, Janghyeon. / A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter. Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3087-3090 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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title = "A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter",

abstract = "The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.",

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Kim, J, Lee, Y & Lee, J 2017, A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter. in Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016., 7848616, IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., pp. 3087-3090, 2016 IEEE Region 10 Conference, TENCON 2016, Singapore, Singapore, 22/11/16. https://doi.org/10.1109/TENCON.2016.7848616

A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter. / Kim, Jongkwang; Lee, Yongkeun; Lee, Janghyeon.
Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3087-3090 7848616 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.

AB - The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.

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KW - rotor speed

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Kim J, Lee Y, Lee J. A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3087-3090. 7848616. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2016.7848616

A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter

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