Self-recovering extended Kalman filter for frequency tracking

Jung Min Pak; Choon Ki Ahn; Myo Taeg Lim

doi:10.1109/ICCAS.2015.7364945

Self-recovering extended Kalman filter for frequency tracking

Jung Min Pak, Choon Ki Ahn, Myo Taeg Lim

School of Electrical Engineering

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

1 Citation (Scopus)

Abstract

This paper proposes a new nonlinear filtering algorithm called the self-recovering extended Kalman filter (SREKF). In the SREKF algorithm, the EKF's failure or abnormal operation is automatically diagnosed. When the failure is diagnosed, an assisting filter, a nonlinear finite impulse response (FIR) filter, is operated. Using the output of the nonlinear FIR filter, the EKF is reset and rebooted. In this way, the SREKF can self-recover from failures. The SREKF is applied to a frequency tracking problem for demonstration of its effectiveness.

Original language	English
Title of host publication	ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	389-392
Number of pages	4
ISBN (Print)	9788993215090
DOIs	https://doi.org/10.1109/ICCAS.2015.7364945
Publication status	Published - 2015 Dec 23
Event	15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16

Other

Other	15th International Conference on Control, Automation and Systems, ICCAS 2015
Country	Korea, Republic of
City	Busan
Period	15/10/13 → 15/10/16

Keywords

extended Kalman filter (EKF)
finite impulse response (FIR) filter
frequency tracking
Self-recovering extended Kalman filter (SREKF)

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1109/ICCAS.2015.7364945

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Self-recovering extended Kalman filter for frequency tracking. / Pak, Jung Min; Ahn, Choon Ki ; Lim, Myo Taeg.

ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 389-392 7364945.

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

Pak, JM, Ahn, CK & Lim, MT 2015, Self-recovering extended Kalman filter for frequency tracking. in ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings., 7364945, Institute of Electrical and Electronics Engineers Inc., pp. 389-392, 15th International Conference on Control, Automation and Systems, ICCAS 2015, Busan, Korea, Republic of, 15/10/13. https://doi.org/10.1109/ICCAS.2015.7364945

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