On the UPMSat-2 magnetometer’s calibration methods performance comparison for poorly conditioned datasets

Abstract

This article summarises the work related to the calibration methodology of the Attitude, Control and Determination Subsystem (ADCS) sensors used in the UPMSat-2 mission project, a 50 kg satellite designed and manufactured by the Universidad Politécnica de Madrid.The ADCS sensors are two fluxgate magnetometers whose calibration is essential to obtain correct measurements. Since the calibration process must be performed once the magnetometers are integrated in the satellite, the range of movements to obtain a representative set of measurements distributed in space is limited. n the present work, several geometric adjustment algorithms are evaluated in order to find the best mathematical structure for this particular problem: underconditioned measurements in the calibration scenarios.The magnetometer data obtained in the satellite integration test are used, together with the selected fitting algorithm, to obtain the calibration parameters of the sensors.