Adaptive Frequency Estimator Based on the Observable Canonical Form

Kuan Li; Dejia Tang; Yang He; Yuansheng Zhao; Hao Luoy

doi:10.1109/ICIT48603.2022.10002810

Adaptive Frequency Estimator Based on the Observable Canonical Form

Kuan Li^*
, Dejia Tang
, Yang He
, Yuansheng Zhao
, Hao Luoy

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

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

Abstract

This paper proposes an adaptive frequency estimator based on the observable canonical form. The signal model is first constructed in the form of the state space representation and transformed into the observable canonical form. The state observer of the signal model is then designed based on the observable canonical form. In addition, the structure of the observer is analyzed in detail with respect to the number of the frequency components. The design of the frequency-related parameters in the observer is also given in a theorem, based on which the adaptive frequency estimator is proposed with three main parts including an adaptive observer, an auxiliary filter and a frequency estimator. The proposed adaptive frequency estimator is finally validated on the simulated voltage signals with different harmonics for power quality monitoring.

Original language	English
Title of host publication	2022 IEEE International Conference on Industrial Technology, ICIT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119489
DOIs	https://doi.org/10.1109/ICIT48603.2022.10002810
State	Published - 2022
Event	2022 IEEE International Conference on Industrial Technology, ICIT 2022 - Shanghai, China Duration: 22 Aug 2022 → 25 Aug 2022

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2022-August

Conference

Conference	2022 IEEE International Conference on Industrial Technology, ICIT 2022
Country/Territory	China
City	Shanghai
Period	22/08/22 → 25/08/22

Keywords

adaptive observer
frequency estimation
observable canonical form
Signal model
state space representation

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10.1109/ICIT48603.2022.10002810

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Li, K., Tang, D., He, Y., Zhao, Y., & Luoy, H. (2022). Adaptive Frequency Estimator Based on the Observable Canonical Form. In 2022 IEEE International Conference on Industrial Technology, ICIT 2022 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2022-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT48603.2022.10002810

@inproceedings{db7cee3068654299b880c4bd85d6c855,

title = "Adaptive Frequency Estimator Based on the Observable Canonical Form",

abstract = "This paper proposes an adaptive frequency estimator based on the observable canonical form. The signal model is first constructed in the form of the state space representation and transformed into the observable canonical form. The state observer of the signal model is then designed based on the observable canonical form. In addition, the structure of the observer is analyzed in detail with respect to the number of the frequency components. The design of the frequency-related parameters in the observer is also given in a theorem, based on which the adaptive frequency estimator is proposed with three main parts including an adaptive observer, an auxiliary filter and a frequency estimator. The proposed adaptive frequency estimator is finally validated on the simulated voltage signals with different harmonics for power quality monitoring.",

keywords = "adaptive observer, frequency estimation, observable canonical form, Signal model, state space representation",

author = "Kuan Li and Dejia Tang and Yang He and Yuansheng Zhao and Hao Luoy",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Industrial Technology, ICIT 2022 ; Conference date: 22-08-2022 Through 25-08-2022",

year = "2022",

doi = "10.1109/ICIT48603.2022.10002810",

language = "英语",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

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

booktitle = "2022 IEEE International Conference on Industrial Technology, ICIT 2022",

address = "美国",

}

Li, K, Tang, D, He, Y, Zhao, Y & Luoy, H 2022, Adaptive Frequency Estimator Based on the Observable Canonical Form. in 2022 IEEE International Conference on Industrial Technology, ICIT 2022. Proceedings of the IEEE International Conference on Industrial Technology, vol. 2022-August, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Industrial Technology, ICIT 2022, Shanghai, China, 22/08/22. https://doi.org/10.1109/ICIT48603.2022.10002810

Adaptive Frequency Estimator Based on the Observable Canonical Form. / Li, Kuan; Tang, Dejia; He, Yang et al.
2022 IEEE International Conference on Industrial Technology, ICIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2022-August).

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

TY - GEN

T1 - Adaptive Frequency Estimator Based on the Observable Canonical Form

AU - Li, Kuan

AU - Tang, Dejia

AU - He, Yang

AU - Zhao, Yuansheng

AU - Luoy, Hao

PY - 2022

Y1 - 2022

N2 - This paper proposes an adaptive frequency estimator based on the observable canonical form. The signal model is first constructed in the form of the state space representation and transformed into the observable canonical form. The state observer of the signal model is then designed based on the observable canonical form. In addition, the structure of the observer is analyzed in detail with respect to the number of the frequency components. The design of the frequency-related parameters in the observer is also given in a theorem, based on which the adaptive frequency estimator is proposed with three main parts including an adaptive observer, an auxiliary filter and a frequency estimator. The proposed adaptive frequency estimator is finally validated on the simulated voltage signals with different harmonics for power quality monitoring.

AB - This paper proposes an adaptive frequency estimator based on the observable canonical form. The signal model is first constructed in the form of the state space representation and transformed into the observable canonical form. The state observer of the signal model is then designed based on the observable canonical form. In addition, the structure of the observer is analyzed in detail with respect to the number of the frequency components. The design of the frequency-related parameters in the observer is also given in a theorem, based on which the adaptive frequency estimator is proposed with three main parts including an adaptive observer, an auxiliary filter and a frequency estimator. The proposed adaptive frequency estimator is finally validated on the simulated voltage signals with different harmonics for power quality monitoring.

KW - adaptive observer

KW - frequency estimation

KW - observable canonical form

KW - Signal model

KW - state space representation

UR - https://www.scopus.com/pages/publications/85146355555

U2 - 10.1109/ICIT48603.2022.10002810

DO - 10.1109/ICIT48603.2022.10002810

M3 - 会议稿件

AN - SCOPUS:85146355555

T3 - Proceedings of the IEEE International Conference on Industrial Technology

BT - 2022 IEEE International Conference on Industrial Technology, ICIT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Industrial Technology, ICIT 2022

Y2 - 22 August 2022 through 25 August 2022

ER -

Adaptive Frequency Estimator Based on the Observable Canonical Form

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