5 / 2021-05-24 16:41:24

Magnetometer Error Compensation Algorithm Based on Immune Adaptation Particle Swarm Optimization Algorithm

Special Session > SS5 - Advanced Control, Navigation and Signal Processing Methods for Multiple Autonomous Unmanned Systems

In order to effectively aid inertial navigation, the geomagnetic navigation requires precise prior geomagnetic information. As the core sensor of geomagnetic navigation, there is a problem for three-axis magnetometer due to its low accuracy. Therefore, this paper proposes an improved particle swarm optimization (IAPSO) to realize the estimation of the parameters of the magnetometer. Initially, according to instrument error of magnetometer and magnetic field error of the carrier interference, the error model of three-axis magnetometer is constructed; then IAPSO is proposed to fit the error model parameters. The experiment results show that the improved particle swarm optimization algorithm has a more accurate value and effectively reduces the measurement error of the magnetometer.