Research on adaptive calibration of tri-axial magnetometer based on ANN

When tri-axial magnetometer is used to estimate a magnetic fieldpsilas module, different results will be obtained in different attitudes. Focusing on the diversionary errors of tri-axial magnetometer, A new adaptive calibration method based on artificial neural networks (ANN) was proposed. The relationships between the diversionary errors and the tri-axial magnetometerpsilas system parameters, such as nonorthogonality between axes, different sensitivity and zero-shift of each axes, were analyzed. Through the corresponding ANN structure, a mathematical adaptive calibration model was established, which could be used to estimate the magnetic fieldpsilas module. The simulation and practical experimentpsilas results show that the diversionary errors of tri-axial magnetometer can be rectified under 10 nT from 500 nT. Without expensive, complex and special equipments, the presented calibration method is more suitable for tri-axial magnetometer.