Unscented Kalman filter for frequency and amplitude estimation

Francisco Gonzalez-Longatt; Happy Novanda; Pawel Regulski; Francisco M. González-Longatt; Vladimir Terzija

doi:10.1109/PTC.2011.6019414

Unscented Kalman filter for frequency and amplitude estimation

Francisco Gonzalez-Longatt, Happy Novanda, Pawel Regulski, Francisco M. González-Longatt, Vladimir Terzija

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

Abstract

This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that the proposed algorithm is simple, efficient and has low computational demands compare to STLS which makes the UKF a very promising method in next generation of power quality monitoring devices. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011\|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH
DOIs	https://doi.org/10.1109/PTC.2011.6019414
Publication status	Published - 2011
Event	2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011 - Trondheim Duration: 1 Jul 2011 → …

Conference

Conference	2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011
City	Trondheim
Period	1/07/11 → …

Keywords

amplitude estimation
frequency estimation
Kalman filters
power quality
unscented transformation

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10.1109/PTC.2011.6019414

Cite this

Gonzalez-Longatt, F., Novanda, H., Regulski, P., González-Longatt, F. M., & Terzija, V. (2011). Unscented Kalman filter for frequency and amplitude estimation. In 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH https://doi.org/10.1109/PTC.2011.6019414

@inproceedings{bbf1fd465dd04de6a525520964272937,

title = "Unscented Kalman filter for frequency and amplitude estimation",

abstract = "This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that the proposed algorithm is simple, efficient and has low computational demands compare to STLS which makes the UKF a very promising method in next generation of power quality monitoring devices. {\textcopyright} 2011 IEEE.",

keywords = "amplitude estimation, frequency estimation, Kalman filters, power quality, unscented transformation",

author = "Francisco Gonzalez-Longatt and Happy Novanda and Pawel Regulski and Gonz{\'a}lez-Longatt, {Francisco M.} and Vladimir Terzija",

year = "2011",

doi = "10.1109/PTC.2011.6019414",

language = "English",

isbn = "9781424484195",

booktitle = "2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH",

note = "2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011 ; Conference date: 01-07-2011",

}

Gonzalez-Longatt, F, Novanda, H, Regulski, P, González-Longatt, FM & Terzija, V 2011, Unscented Kalman filter for frequency and amplitude estimation. in 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH. 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011, Trondheim, 1/07/11. https://doi.org/10.1109/PTC.2011.6019414

Unscented Kalman filter for frequency and amplitude estimation. / Gonzalez-Longatt, Francisco; Novanda, Happy; Regulski, Pawel et al.
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH. 2011.

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

TY - GEN

T1 - Unscented Kalman filter for frequency and amplitude estimation

AU - Gonzalez-Longatt, Francisco

AU - Novanda, Happy

AU - Regulski, Pawel

AU - González-Longatt, Francisco M.

AU - Terzija, Vladimir

PY - 2011

Y1 - 2011

N2 - This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that the proposed algorithm is simple, efficient and has low computational demands compare to STLS which makes the UKF a very promising method in next generation of power quality monitoring devices. © 2011 IEEE.

AB - This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that the proposed algorithm is simple, efficient and has low computational demands compare to STLS which makes the UKF a very promising method in next generation of power quality monitoring devices. © 2011 IEEE.

KW - amplitude estimation

KW - frequency estimation

KW - Kalman filters

KW - power quality

KW - unscented transformation

U2 - 10.1109/PTC.2011.6019414

DO - 10.1109/PTC.2011.6019414

M3 - Conference contribution

SN - 9781424484195

BT - 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011|IEEE PES Trondheim PowerTech: Power Technol. Sustainable Soc., POWERTECH

T2 - 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

Y2 - 1 July 2011

ER -

Unscented Kalman filter for frequency and amplitude estimation

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