Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking

Shuli Jiao; M. H. Nagrial

doi:10.1109/PEDES.1998.1330729

Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking

Shuli Jiao, M. H. Nagrial

School of Engineering, Design & Built Environment

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

This paper describes recursive maximum likelihood (RML) algorithm for tracking the sinusoidal frequency. The algorithm is modeled and simulated using Matlab/Simulink software package. This paper describes how to adjust the algorithmic parameters to estimate the frequency with high accuracy in steady state and also for tracking rapidly changing frequency. The measurement bandwidth of at least 10 Hz can be achieved with an update time of 500 μs. It is suitable for real time operation since there are only 13 multiplications, 13 addition and 1 division in each iteration. Practically it needs only 11 μs per update on a TMSC32 processor.

Original language	English
Title of host publication	PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth
Editors	C. Nayar, V. Agelidis, W.B. Lawrance, S. Islam, W.W.L. Keelthipala
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	948-952
Number of pages	5
ISBN (Electronic)	0780348796, 9780780348790
DOIs	https://doi.org/10.1109/PEDES.1998.1330729
Publication status	Published - 1998
Event	1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, PEDES 1998 - Perth, Australia Duration: 1 Dec 1998 → 3 Dec 1998

Publication series

Name	PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth
Volume	2

Conference

Conference	1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, PEDES 1998
Country/Territory	Australia
City	Perth
Period	1/12/98 → 3/12/98

Bibliographical note

Publisher Copyright:
© 1998 IEEE.

Keywords

Adaptive notch filter
DSP
Modeling and simulation

Access to Document

10.1109/PEDES.1998.1330729

Cite this

Jiao, S., & Nagrial, M. H. (1998). Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking. In C. Nayar, V. Agelidis, W. B. Lawrance, S. Islam, & W. W. L. Keelthipala (Eds.), PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth (pp. 948-952). Article 1330729 (PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDES.1998.1330729

Jiao, Shuli ; Nagrial, M. H. / Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking. PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth. editor / C. Nayar ; V. Agelidis ; W.B. Lawrance ; S. Islam ; W.W.L. Keelthipala. Institute of Electrical and Electronics Engineers Inc., 1998. pp. 948-952 (PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth).

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title = "Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking",

abstract = "This paper describes recursive maximum likelihood (RML) algorithm for tracking the sinusoidal frequency. The algorithm is modeled and simulated using Matlab/Simulink software package. This paper describes how to adjust the algorithmic parameters to estimate the frequency with high accuracy in steady state and also for tracking rapidly changing frequency. The measurement bandwidth of at least 10 Hz can be achieved with an update time of 500 μs. It is suitable for real time operation since there are only 13 multiplications, 13 addition and 1 division in each iteration. Practically it needs only 11 μs per update on a TMSC32 processor.",

keywords = "Adaptive notch filter, DSP, Modeling and simulation",

author = "Shuli Jiao and Nagrial, {M. H.}",

note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, PEDES 1998 ; Conference date: 01-12-1998 Through 03-12-1998",

year = "1998",

doi = "10.1109/PEDES.1998.1330729",

language = "English",

series = "PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "948--952",

editor = "C. Nayar and V. Agelidis and W.B. Lawrance and S. Islam and W.W.L. Keelthipala",

booktitle = "PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth",

}

Jiao, S & Nagrial, MH 1998, Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking. in C Nayar, V Agelidis, WB Lawrance, S Islam & WWL Keelthipala (eds), PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth., 1330729, PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 948-952, 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, PEDES 1998, Perth, Australia, 1/12/98. https://doi.org/10.1109/PEDES.1998.1330729

Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking. / Jiao, Shuli; Nagrial, M. H.
PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth. ed. / C. Nayar; V. Agelidis; W.B. Lawrance; S. Islam; W.W.L. Keelthipala. Institute of Electrical and Electronics Engineers Inc., 1998. p. 948-952 1330729 (PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth; Vol. 2).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Nagrial, M. H.

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N2 - This paper describes recursive maximum likelihood (RML) algorithm for tracking the sinusoidal frequency. The algorithm is modeled and simulated using Matlab/Simulink software package. This paper describes how to adjust the algorithmic parameters to estimate the frequency with high accuracy in steady state and also for tracking rapidly changing frequency. The measurement bandwidth of at least 10 Hz can be achieved with an update time of 500 μs. It is suitable for real time operation since there are only 13 multiplications, 13 addition and 1 division in each iteration. Practically it needs only 11 μs per update on a TMSC32 processor.

AB - This paper describes recursive maximum likelihood (RML) algorithm for tracking the sinusoidal frequency. The algorithm is modeled and simulated using Matlab/Simulink software package. This paper describes how to adjust the algorithmic parameters to estimate the frequency with high accuracy in steady state and also for tracking rapidly changing frequency. The measurement bandwidth of at least 10 Hz can be achieved with an update time of 500 μs. It is suitable for real time operation since there are only 13 multiplications, 13 addition and 1 division in each iteration. Practically it needs only 11 μs per update on a TMSC32 processor.

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KW - Modeling and simulation

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M3 - Conference Paper

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BT - PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth

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A2 - Lawrance, W.B.

A2 - Islam, S.

A2 - Keelthipala, W.W.L.

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 1 December 1998 through 3 December 1998

ER -

Jiao S, Nagrial MH. Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking. In Nayar C, Agelidis V, Lawrance WB, Islam S, Keelthipala WWL, editors, PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth. Institute of Electrical and Electronics Engineers Inc. 1998. p. 948-952. 1330729. (PEDES 1998 - 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth). doi: 10.1109/PEDES.1998.1330729

Modeling and simulation of a real time adaptive notch filter for sinusoidal frequency tracking

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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