Abstracts Book - IMRC 2018

• SF5-O015
COMPARATIVE STUDY OF REAL-TIME OPTIMIZERS FOR THE
ADJUSTMENT OF A VIBRATING SAMPLE MAGNETOMETER
Javier Torres Osorio 1 , Victor Jaramillo 2,3 , Abilo Velasquez 3 , Elisabeth Restrepo Parra 3 , Jorge
Jaramillo 1
1 Universidad de Caldas, , Colombia. 2 Universidad de Caldas, Caldas, Colombia. 3 Universidad
Nacional de Colombia, , Colombia.
A comparative study of the optimization techniques is presented: grid search,
descendant gradient and bioinspired metaeursitic algorithms, for the
adjustment in real time of a vibrating sample magnetometer (VSM) with
transverse geometry, for soft materials. For this case a nickel sample was used
to be magnetized, the magnetic field was set at 50 mT, the induced signal was
processed with a Butterworth bandpass filter. The system adjustment
parameters were: the vibration frequency, f, the filter bandwidth, Δf, the average
frequency of the filter, fc, the order of the filter, n, and the measurement time
of the induction in the pickup coil, t. The standard deviation, σ, and the mean
value of the induced signal, μ, were estimated for each parameter configuration.
The minimization of the standard deviation is the objective for each optimization
algorithm and the execution of them was carried out in real time to minimize
the amount of measures necessary for the optimization process. Although the
three algorithms proposed reached an optimal configuration with a slight
attenuation of the signal, the descendant gradient algorithm used less quantity
of means for this purpose.
Keywords: grid search, descendant gradient, real time optimization
Presenting authors email: victor.jaramillo@ucaldas.edu.co