Sep 26 – 30, 2022
America/Sao_Paulo timezone

Drift-free integration in inductive magnetic field measurements achieved by Kalman filtering

Not scheduled
20m
Video Methods Plenary

Speaker

Mariano Pentella (CERN)

Description

Sensing coils are inductive sensors commonly used to measure magnetic fields, such as that generated by electromagnets used in many kinds of industrial and scientific applications. Inductive sensors rely on integrating the output voltage at the coil's terminals to obtain the flux linkage, which may suffer from the magnification of low-frequency noise resulting in a drifting integrated signal. This talk presents a method for the cancellation of the integrator drift. The method is based on a first-order linear Kalman filter combining the data from the coil and a second sensor. Three case studies are presented. In the first one, the second sensor is a Hall probe, sensing the magnetic field directly. In a second case study, the magnet's excitation current was used instead to provide a first-order approximation of the field. Experimental tests show that both approaches can reduce the measured field drift by three orders of magnitude. The Hall probe option guarantees, in addition, one order of magnitude better absolute accuracy than by using the excitation current. The third case study presents a proof of concept of the method for the measurement of integrated fields.

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