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Research on Intelligent Control System of DC SQUID Magnetometer Parameters for Multi-channel System

Research on Intelligent Control System of DC SQUID Magnetometer Parameters for Multi-channel System In a multi-channel SQUID measurement system, adjusting device parameters to optimal condition for all channels is time-consuming. In this paper, an intelligent control system is presented to determine the optimal working point of devices which is automatic and more efficient comparing to the manual one. An optimal working point searching algorithm is introduced as the core component of the control system. In this algorithm, the bias voltage $$V_\mathrm{bias}$$ V bias is step scanned to obtain the maximal value of the peak-to-peak current value $$I_\mathrm{pp}$$ I pp of the SQUID magnetometer modulation curve. We choose this point as the optimal one. Using the above control system, more than 30 weakly damped SQUID magnetometers with area of $$5 \times 5 \, \hbox {mm}^2$$ 5 × 5 mm 2 or $$10 \times 10 \, \hbox {mm}^2$$ 10 × 10 mm 2 are adjusted and a 36-channel magnetocardiography system perfectly worked in a magnetically shielded room. The average white flux noise is $$15 \, {\upmu \Phi }_0/\hbox {Hz}^{1/2}$$ 15 μ Φ 0 / Hz 1 / 2 . http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Low Temperature Physics Springer Journals

Research on Intelligent Control System of DC SQUID Magnetometer Parameters for Multi-channel System

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References (13)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Physics; Condensed Matter Physics; Characterization and Evaluation of Materials; Magnetism, Magnetic Materials
ISSN
0022-2291
eISSN
1573-7357
DOI
10.1007/s10909-018-1881-8
Publisher site
See Article on Publisher Site

Abstract

In a multi-channel SQUID measurement system, adjusting device parameters to optimal condition for all channels is time-consuming. In this paper, an intelligent control system is presented to determine the optimal working point of devices which is automatic and more efficient comparing to the manual one. An optimal working point searching algorithm is introduced as the core component of the control system. In this algorithm, the bias voltage $$V_\mathrm{bias}$$ V bias is step scanned to obtain the maximal value of the peak-to-peak current value $$I_\mathrm{pp}$$ I pp of the SQUID magnetometer modulation curve. We choose this point as the optimal one. Using the above control system, more than 30 weakly damped SQUID magnetometers with area of $$5 \times 5 \, \hbox {mm}^2$$ 5 × 5 mm 2 or $$10 \times 10 \, \hbox {mm}^2$$ 10 × 10 mm 2 are adjusted and a 36-channel magnetocardiography system perfectly worked in a magnetically shielded room. The average white flux noise is $$15 \, {\upmu \Phi }_0/\hbox {Hz}^{1/2}$$ 15 μ Φ 0 / Hz 1 / 2 .

Journal

Journal of Low Temperature PhysicsSpringer Journals

Published: Mar 5, 2018

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