DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter

Yaozhong Yan; Qingbo Geng; Jianying Liu; Yanchao Qiao

doi:10.1109/ICECTT50890.2020.00080

DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter

Yaozhong Yan, Qingbo Geng^*, Jianying Liu, Yanchao Qiao

^*Corresponding author for this work

School of Automation

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

Abstract

In order to solve the problems of manual adjustment of the DC-SQUID operating point with large error and low efficiency, and the existing automatic search algorithm for the optimum operating point of the DC-SQUID needs to traverse all data, which requires a large amount of calculation. A method based on extended kalman filter is proposed for DC-SQUID optimum operating point automatic searching. This algorithm filters the noise in the measurement process in real time to make the result more accurate. The calculation does not require much historical data, and the amount of calculation is small. Taking the aviation full tensor magnetic gradient instrument as the application background, experiments show that the algorithm can effectively find the optimum operating point of DC-SQUID.

Original language	English
Title of host publication	Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	330-333
Number of pages	4
ISBN (Electronic)	9781728199283
DOIs	https://doi.org/10.1109/ICECTT50890.2020.00080
Publication status	Published - May 2020
Event	5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020 - Virtual, Nanchang, China Duration: 15 May 2020 → 17 May 2020

Publication series

Name	Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020

Conference

Conference	5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020
Country/Territory	China
City	Virtual, Nanchang
Period	15/05/20 → 17/05/20

Keywords

DC-SQUID
Extended Kalman Filter
Operating point automatic searching

Access to Document

10.1109/ICECTT50890.2020.00080

Cite this

Yan, Y., Geng, Q., Liu, J., & Qiao, Y. (2020). DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter. In Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020 (pp. 330-333). Article 9237589 (Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECTT50890.2020.00080

Yan, Yaozhong ; Geng, Qingbo ; Liu, Jianying et al. / DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter. Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 330-333 (Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020).

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title = "DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter",

abstract = "In order to solve the problems of manual adjustment of the DC-SQUID operating point with large error and low efficiency, and the existing automatic search algorithm for the optimum operating point of the DC-SQUID needs to traverse all data, which requires a large amount of calculation. A method based on extended kalman filter is proposed for DC-SQUID optimum operating point automatic searching. This algorithm filters the noise in the measurement process in real time to make the result more accurate. The calculation does not require much historical data, and the amount of calculation is small. Taking the aviation full tensor magnetic gradient instrument as the application background, experiments show that the algorithm can effectively find the optimum operating point of DC-SQUID.",

keywords = "DC-SQUID, Extended Kalman Filter, Operating point automatic searching",

author = "Yaozhong Yan and Qingbo Geng and Jianying Liu and Yanchao Qiao",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020 ; Conference date: 15-05-2020 Through 17-05-2020",

year = "2020",

month = may,

doi = "10.1109/ICECTT50890.2020.00080",

language = "English",

series = "Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020",

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

pages = "330--333",

booktitle = "Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020",

address = "United States",

}

Yan, Y, Geng, Q, Liu, J & Qiao, Y 2020, DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter. in Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020., 9237589, Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020, Institute of Electrical and Electronics Engineers Inc., pp. 330-333, 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020, Virtual, Nanchang, China, 15/05/20. https://doi.org/10.1109/ICECTT50890.2020.00080

DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter. / Yan, Yaozhong; Geng, Qingbo; Liu, Jianying et al.
Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 330-333 9237589 (Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020).

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

TY - GEN

T1 - DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter

AU - Yan, Yaozhong

AU - Geng, Qingbo

AU - Liu, Jianying

AU - Qiao, Yanchao

PY - 2020/5

Y1 - 2020/5

N2 - In order to solve the problems of manual adjustment of the DC-SQUID operating point with large error and low efficiency, and the existing automatic search algorithm for the optimum operating point of the DC-SQUID needs to traverse all data, which requires a large amount of calculation. A method based on extended kalman filter is proposed for DC-SQUID optimum operating point automatic searching. This algorithm filters the noise in the measurement process in real time to make the result more accurate. The calculation does not require much historical data, and the amount of calculation is small. Taking the aviation full tensor magnetic gradient instrument as the application background, experiments show that the algorithm can effectively find the optimum operating point of DC-SQUID.

AB - In order to solve the problems of manual adjustment of the DC-SQUID operating point with large error and low efficiency, and the existing automatic search algorithm for the optimum operating point of the DC-SQUID needs to traverse all data, which requires a large amount of calculation. A method based on extended kalman filter is proposed for DC-SQUID optimum operating point automatic searching. This algorithm filters the noise in the measurement process in real time to make the result more accurate. The calculation does not require much historical data, and the amount of calculation is small. Taking the aviation full tensor magnetic gradient instrument as the application background, experiments show that the algorithm can effectively find the optimum operating point of DC-SQUID.

KW - DC-SQUID

KW - Extended Kalman Filter

KW - Operating point automatic searching

UR - https://www.scopus.com/pages/publications/85096665913

U2 - 10.1109/ICECTT50890.2020.00080

DO - 10.1109/ICECTT50890.2020.00080

M3 - Conference contribution

AN - SCOPUS:85096665913

T3 - Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020

SP - 330

EP - 333

BT - Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020

Y2 - 15 May 2020 through 17 May 2020

ER -

Yan Y, Geng Q, Liu J, Qiao Y. DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter. In Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 330-333. 9237589. (Proceedings - 2020 5th International Conference on Electromechanical Control Technology and Transportation, ICECTT 2020). doi: 10.1109/ICECTT50890.2020.00080

DC-SQUID optimum operating point automatic searching algorithm based on extended kalman filter

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