Development of an automated system based on the concept of evolutionary hardware to determine the optimal operating point of GMI sensors
J D Benavides Mora, Eduardo Costa da Silva · Journal of Physics Conference Series · 2018
The sensitivity of a magnetometer is directly associated with the sensitivity of its sensor elements. In the case of GMI sensors, this sensitivity is optimized by maximizing the variation of their impedance magnitude or phase as a function of the magnetic field to which the sample is subjected. Previous studies showed that the sensitivity of Co 70 Fe 5 Si 15 B 10 samples is most affected by four parameters: sample length, biasing magnetic field, DC level and the frequency of the excitation current. However, the search for the set of parameters that optimizes the sensitivity of the samples is usually empirical and very time consuming. Thus, this paper proposes a new optimization technique, based on the use of genetic algorithms evolving in hardware, in order to define the set of parameters responsible for maximizing the samples sensitivity.