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
N1 - Publisher Copyright:
© 2020 IEEE.
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 -