TY - JOUR
AU1 - Chen, Hua
AU2 - Yang, Kang
AU3 - Lu, Li
AU4 - Kong, Xiangyan
AU5 - Wang, Hai
AU6 - Wu, Jun
AU7 - Wang, Yongliang
AB - 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
.
TI - Research on Intelligent Control System of DC SQUID Magnetometer Parameters for Multi-channel System
JF - Journal of Low Temperature Physics
DO - 10.1007/s10909-018-1881-8
DA - 2018-03-05
UR - https://www.deepdyve.com/lp/springer-journals/research-on-intelligent-control-system-of-dc-squid-magnetometer-LLj7KcFN1N
SP - 33
EP - 40
VL - 192
IS - 2
DP - DeepDyve