Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation

Zhuonan Wang; Haiquan Zhao

doi:10.1109/ICIEA51954.2021.9516383

Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation

Zhuonan Wang
, Haiquan Zhao

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

3 Scopus citations

Abstract

In order to solve frequency estimation of three-phase unbalanced power system, we propose an augmented complex least mean square/fourth (ACLMS/F) algorithm. The least mean square/fourth (LMS/F) algorithm combines advantages of least mean square (LMS) algorithm and least mean fourth (LMF) algorithm, which has superior performance in noisy environments. The Clarke's αβ transformation was used to get the information of three-phase voltage signal simultaneously, so the proposed algorithm will have better robustness. To improve the performance in unbalanced power systems, the widely linear modelling is introduced into the traditional complex-valued adaptive algorithm. The performance of ACLMS/F is texted in some situations usually appearing in the power system.

Original language	English
Title of host publication	Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1221-1225
Number of pages	5
ISBN (Electronic)	9781665422482
DOIs	https://doi.org/10.1109/ICIEA51954.2021.9516383
State	Published - Aug 1 2021
Externally published	Yes
Event	16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 - Chengdu, China Duration: Aug 1 2021 → Aug 4 2021

Publication series

Name	Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

Conference

Conference	16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Country/Territory	China
City	Chengdu
Period	08/1/21 → 08/4/21

Funding

ACKNOWLEDGMENT This work was partially supported by National Science Foundation of P.R. China (Grant: 61871461, 61571374, 61433011), Sichuan Science and Technology Program (Grant: 19YYJC0681), and National Rail Transportation Electrification and Automation Engineering Technology Research Center (Grant: NEEC-2019-A02).

Keywords

augmented complex least mean square/fourth (ACLMS/F)
frequency estimation
unbalanced three-phase voltage
widely linear modelling

Access to Document

10.1109/ICIEA51954.2021.9516383

Cite this

Wang, Z., & Zhao, H. (2021). Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation. In Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 (pp. 1221-1225). (Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA51954.2021.9516383

Wang, Zhuonan ; Zhao, Haiquan. / Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation. Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1221-1225 (Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021).

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title = "Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation",

abstract = "In order to solve frequency estimation of three-phase unbalanced power system, we propose an augmented complex least mean square/fourth (ACLMS/F) algorithm. The least mean square/fourth (LMS/F) algorithm combines advantages of least mean square (LMS) algorithm and least mean fourth (LMF) algorithm, which has superior performance in noisy environments. The Clarke's αβ transformation was used to get the information of three-phase voltage signal simultaneously, so the proposed algorithm will have better robustness. To improve the performance in unbalanced power systems, the widely linear modelling is introduced into the traditional complex-valued adaptive algorithm. The performance of ACLMS/F is texted in some situations usually appearing in the power system.",

keywords = "augmented complex least mean square/fourth (ACLMS/F), frequency estimation, unbalanced three-phase voltage, widely linear modelling",

author = "Zhuonan Wang and Haiquan Zhao",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 ; Conference date: 01-08-2021 Through 04-08-2021",

year = "2021",

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language = "English",

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Wang, Z & Zhao, H 2021, Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation. in Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1221-1225, 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021, Chengdu, China, 08/1/21. https://doi.org/10.1109/ICIEA51954.2021.9516383

Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation. / Wang, Zhuonan; Zhao, Haiquan.
Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1221-1225 (Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021).

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

TY - GEN

T1 - Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation

AU - Wang, Zhuonan

AU - Zhao, Haiquan

PY - 2021/8/1

Y1 - 2021/8/1

N2 - In order to solve frequency estimation of three-phase unbalanced power system, we propose an augmented complex least mean square/fourth (ACLMS/F) algorithm. The least mean square/fourth (LMS/F) algorithm combines advantages of least mean square (LMS) algorithm and least mean fourth (LMF) algorithm, which has superior performance in noisy environments. The Clarke's αβ transformation was used to get the information of three-phase voltage signal simultaneously, so the proposed algorithm will have better robustness. To improve the performance in unbalanced power systems, the widely linear modelling is introduced into the traditional complex-valued adaptive algorithm. The performance of ACLMS/F is texted in some situations usually appearing in the power system.

AB - In order to solve frequency estimation of three-phase unbalanced power system, we propose an augmented complex least mean square/fourth (ACLMS/F) algorithm. The least mean square/fourth (LMS/F) algorithm combines advantages of least mean square (LMS) algorithm and least mean fourth (LMF) algorithm, which has superior performance in noisy environments. The Clarke's αβ transformation was used to get the information of three-phase voltage signal simultaneously, so the proposed algorithm will have better robustness. To improve the performance in unbalanced power systems, the widely linear modelling is introduced into the traditional complex-valued adaptive algorithm. The performance of ACLMS/F is texted in some situations usually appearing in the power system.

KW - augmented complex least mean square/fourth (ACLMS/F)

KW - frequency estimation

KW - unbalanced three-phase voltage

KW - widely linear modelling

UR - https://www.scopus.com/pages/publications/85115443269

U2 - 10.1109/ICIEA51954.2021.9516383

DO - 10.1109/ICIEA51954.2021.9516383

M3 - Conference contribution

AN - SCOPUS:85115443269

T3 - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

SP - 1221

EP - 1225

BT - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

Y2 - 1 August 2021 through 4 August 2021

ER -

Wang Z, Zhao H. Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation. In Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1221-1225. (Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021). doi: 10.1109/ICIEA51954.2021.9516383

Augmented Complex Least Mean Square/Fourth Algorithm for Adaptive Frequency Estimation

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