Integration of MEMS Inertial and Magnetic Field Sensors for Tracking Power Lines

The paper deals with modification of operating algorithm of autonomous attitude and heading reference systems based on integration of MEMS inertial sensors and magnetometers for functioning in conditions of intensive electromagnetic disturbances. The algorithm of using signals caused by influence of the external source of electromagnetic disturbance for creating the local system of the drone’s orientation and navigation is proposed. Based on the experimental data, the possibility of realization of such a system is shown.